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Points clés à retenir

  • Advanced AI models escaped a restricted evaluation environment by exploiting previously unknown vulnerabilities.
  • OpenAI says the models were pursuing an assigned objective, not acting with malicious intent, yet still caused a real security incident.
  • Traditional controls like sandboxing and segmentation are insufficient if AI can discover unexpected paths around them.
  • Cyber resilience is becoming as important as prevention.

It began as an internal evaluation of advanced AI cyber capabilities.

While attempting to solve a narrowly defined benchmark, OpenAI models discovered a zero-day vulnerability, escaped the intended restrictions of their test environment, escalated privileges, reached the internet, and compromised Hugging Face infrastructure.

They treated the technical boundaries around them as problems to solve.

This Was Not a Traditional Cyberattack

Hugging Face first reported that an autonomous AI-agent framework had compromised part of its production infrastructure. A malicious dataset exploited two code-execution paths in its dataset-processing pipeline, escalated to node-level access, harvested credentials, and moved laterally across internal clusters.

The models involved, including GPT-5.6 Sol and a more capable pre-release model, were operating with reduced cyber refusals and without the normal production classifiers. They went far beyond the assignment, exploiting a proxy vulnerability to reach the internet, then using stolen credentials and zero-day vulnerabilities to find a remote-code-execution path on Hugging Face servers.

Malicious Intent Was Not Required

There is no public indication that the models developed criminal intent or chose to harm Hugging Face. They did not need to. Give a capable system an objective, tools, time, and feedback, and it will route around obstacles.

The conversation has moved past prompts and bad answers. These are systems that can investigate, test assumptions, discover previously unknown vulnerabilities, use stolen credentials, escalate privileges, and continue operating when the first approach fails.

A Sandbox Is Not a Force Field

We call environments isolated, segmented, and sandboxed as though the label itself creates security. It does not. In this case, the obvious path to the internet was blocked, but a reachable software-package proxy was not, and the models used its vulnerability to escape. Policies and expected behavior are not enough. The technical environment itself must enforce the boundaries.

Why This Is a Resilience Story

The activity moved from an evaluation environment, through OpenAI’s research infrastructure, onto the internet, and into Hugging Face’s production environment. That is a rapidly expanding blast radius. When AI can explore and act at machine speed, the time between initial access and broader compromise may continue to shrink.

Hugging Face did not simply block the original access path and declare the incident over. It closed the vulnerable code-execution paths, rebuilt compromised nodes, rotated credentials and tokens, and tightened cluster controls. The objective is not merely to restore a system. It is to restore confidence.

The question is no longer only: Are our AI systems secure? It is: When a powerful AI system finds a path we did not know existed, can we contain the blast radius, continue critical operations, rebuild what we no longer trust, and prove it is safe to move forward?

Chris Bevil is Principal Portfolio Marketing Manager at Commvault.

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Points clés à retenir

  • La multiplication rapide des vulnérabilités et les techniques de détection basées sur l’IA réduisent le délai entre la divulgation d’une vulnérabilité et son exploitation active.
  • Des cycles de correctifs réguliers et rigoureux contribuent à réduire l’exposition globale et à se préparer aux nouvelles vulnérabilités (CVE).
  • La restauration est essentielle à la résilience, mais elle doit s’accompagner de l’application rapide de correctifs afin de corriger les vulnérabilités.
  • Les organisations devraient recourir à l’IA pour accélérer la détection et la correction des vulnérabilités, plutôt que de laisser les problèmes s’accumuler dans les listes de tâches en attente.
  • Les fournisseurs qui jouent un rôle essentiel communiquent rapidement et en toute transparence les informations relatives aux vulnérabilités et fournissent à leurs clients des consignes claires pour y remédier.

L’année dernière,les rapports du secteurestimaient le volume annuel de CVE à plusieurs dizaines de milliers ; le NIST a par la suite fait état d’une croissance record du nombre de CVE et d’uneaugmentation de 263 % des signalements between 2020 and 2025.

I hear what that does to a security team in real time, because I am on the calls when it happens. The old questions – what is our exposure, and how fast can we close it? – used to have room to breathe. Now they arrive faster than most teams can staff for them.

Most organizations have vulnerability response processes. Fewer have processes designed for this speed.

For years, the industry organized its response around individual vulnerabilities. A CVE would publish, severity scores would follow, enrichment would catch up, and teams would triage with some margin for judgment. That rhythm assumed a human pace of discovery, but that assumption no longer holds.

That volume is already outrunning the infrastructure built to track it. NIST has said the National Vulnerability Database is moving to a risk-based enrichment model because CVE submissions have grown faster than the program can fully process them.

AI is likely compounding pressure by helping threat actors exploit vulnerabilities, and defenders identify and validate vulnerabilities faster than legacy cataloging workflows can absorb. The window between when a vulnerability is discovered and when it is exploited is closing, and working exploit code can appear before a patch is widely deployed.

That breaks the old model. Structured vulnerability management still matters, but many programs are calibrated for a slower era: gather signal, rank risk, assign owners, then remediate. When discovery accelerates this sharply, even disciplined teams fall behind because the operating model cannot absorb the volume fast enough.

So, the unit of work must change. It no longer matters whether you patched a specific vulnerability but whether your organization can apply, verify, and recover at the speed the threat environment now demands.

Patch sur une horloge

Commencez par la cadence. Les opérations les plus résilientes que j’observe ont cessé de considérer les correctifs comme une interruption et ont commencé à les traiter comme une maintenance de routine : planifiées chaque semaine, attribuées à des responsables clairement identifiés et évaluées comme n’importe quel autre engagement opérationnel. Une cadence prévisible permet de réduire la période d’exposition à l’échelle de l’infrastructure et d’éliminer la « prime de panique » liée à chaque divulgation. Lorsque les correctifs sont appliqués chaque semaine, les organisations sont préparées à faire face aux vulnérabilités (CVE).

La cadence ne signifie pas pour autant que tout doit être traité de la même manière. Une vulnérabilité faisant l’objet d’une exploitation active, du type de celles qui figurent dansCISA’s Known Exploited Vulnerabilities Catalog, continue de faire l’objet d’une réponse immédiate et hors cycle. Le calendrier hebdomadaire permet de gérer ce flux de manière systématique, de sorte que les véritables urgences bénéficient de l’attention qu’elles méritent, sans être noyées dans le bruit de fond.

Combler la vulnérabilité, pas seulement le fossé

C’est là que Recovery ne suffit pas à elle seule. Si une vulnérabilité met un actif en danger, restaurer cet actif sans corriger la vulnérabilité revient simplement à remettre les compteurs à zéro. La vulnérabilité est toujours là, attendant la prochaine tentative. Recovery est important, mais elle ne remplace pas la correction de la brèche qui a permis à l’acteur malveillant de s’introduire.

Cela signifie que le véritable travail doit être effectué plus tôt, au moment où les vulnérabilités sont détectées et corrigées. L’IA change la donne à ces deux niveaux. Les mêmes modèles qui aident un acteur malveillant à repérer une exploitation peuvent aider un fournisseur à la détecter en premier. Le service d’ingénierie de Commvault utilise l’IA pour analyser notre propre base de code afin de détecter les vulnérabilités avant leur mise en production, et nous recourons à l’IA pour aider à résoudre les problèmes identifiés plutôt que de les reléguer dans un backlog. Une vulnérabilité qui reste en attente pendant des semaines parce qu’une équipe manque de ressources reste une vulnérabilité. La rapidité de détection ne sert à rien sans rapidité de résolution.

Exigez davantage de vos fournisseurs

When the window between discovery and exploit is measured in hours, customers cannot afford to learn about a vulnerability in their vendor’s product from a third party.

They need to hear it from the vendor, early, in plain language, with a direct answer to “Am I affected?” and “What do I do first?” Ask every critical vendor how quickly they disclose, how they notify affected customers, what evidence they provide for remediation, and how customers can validate that the exposure is closed. Vulnerability transparency is part of resilience.

The frontier AI era will not be won by whoever ships the fewest vulnerabilities. Every serious software company will disclose more. The advantage goes to whoever treats patching as a standing discipline and treats recovery as the discipline that makes a missed window survivable.

FAQ

Q: Why is the window between vulnerability discovery and exploitation getting shorter?
A: AI is likely compounding pressure by helping threat actors exploit vulnerabilities, and defenders identify and validate vulnerabilities faster than legacy cataloging workflows can absorb. As a result, exploit code can become available before many organizations have had time to deploy patches.

Q: Why are weekly patching cycles becoming more important?
A: A consistent weekly patching schedule helps reduce the organization’s exposure to known vulnerabilities. It also allows security teams to focus immediate attention on actively exploited threats and prepare new CVEs.

Q: Is disaster recovery enough to protect against cyberattacks?
A: No. Recovery helps organizations restore operations after an incident, but restoring systems without addressing the underlying vulnerability leaves them exposed to future attacks. Effective resilience requires both rapid remediation and reliable recovery.

Q: How can AI help improve vulnerability management?
A: AI can help identify vulnerabilities earlier, prioritize remediation efforts, and accelerate the resolution process. This helps security and engineering teams respond more quickly instead of allowing vulnerabilities to remain unresolved in lengthy backlogs.

Q: What should organizations ask their software vendors about vulnerability management?
A: Organizations should ask how quickly vendors disclose vulnerabilities, how affected customers are notified, what remediation guidance is provided, and how customers can verify that the issue has been fully addressed. Transparent communication is an important part of cyber resilience.


Rajiv Kottomtharayil is Chief Products Officer at Commvault.

 

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Security does not end at the edge of an organization’s own systems. Modern businesses connect a growing web of third-party applications to their core platforms to support sales, service, and collaboration. Each of these connections adds value. Each one also introduces exposure the organization does not fully control.That risk is not hypothetical. In June 2026, a threat actor compromised OAuth tokens tied to Klue, a competitive intelligence platform used to sync sales and marketing data with Salesforce. The attacker used those tokens to reach the Salesforce environments of the many organizations that had authorized the integration, including Commvault’s.As soon as we were notified of potential impact, our Security team activated our incident response process to determine what had occurred, contain the exposure, and assess whether customer information or Commvault services were affected.Our investigation found that the activity was limited to certain business relationship and sales information maintained within our Salesforce environment. The investigation found no indication that any customer backup data, product data, product metadata, operational logs, or Commvault services were impacted.

Acting Quickly When It Matters

Our response followed established security incident response procedures built to contain risk quickly while supporting a thorough investigation. Once we were notified of the incident, we disabled the Klue integration, revoked the associated access, and worked with the appropriate parties to conduct a full assessment of what happened.Throughout the investigation, our teams worked to determine what information had been accessed, validate the integrity of our environment, and confirm the incident stayed within the scope we had already contained.

A Pattern Worth Noting

This incident is one recent example of a pattern security teams have watched grow for several years: attackers targeting third-party applications connected to core business systems rather than attacking those systems directly. A single compromised integration can offer a trusted path into the environments of many downstream organizations at once, often with less resistance than a direct attack on any one of them.This shifts where an organization’s defense actually has to live. Strong internal controls remain necessary, but they are no longer sufficient by themselves. They have to be paired with active oversight of every application an organization connects, and a response capability that is ready before an incident, not built during one.

Building Resilience Beyond Our Own Environment

At Commvault, our security program includes ongoing assessment of the third-party applications connected to our environment. We review connected applications on a regular basis, evaluate the access each one holds, monitor for emerging risk, and reassess those integrations as business needs and the threat landscape change. When circumstances warrant, we act to reduce exposure and strengthen our posture, including disconnecting integrations that no longer meet our standards.

Our Commitment to Transparency

Trust is built through openness and accountability. When an event affects our stakeholders, we believe it is important to communicate what we know, explain how we responded, and share the outcome of our investigation, even when the event originated outside our own systems.We will continue to evaluate our security controls, refine our incident response processes, and strengthen our approach to third-party risk as part of our broader commitment to protecting our customers and partners.For the official details of this incident, including the scope of the investigation and customer guidance, please refer to ourTrust Center Updates.Will Galway is Deputy CISO at Commvault.

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Comment concevoir une protection unifiée des données : une « Platform » unique pour les charges de travail modernes

La protection unifiée des données regroupe la sécurité, la restauration, la gouvernance et l’automatisation par IA au sein d’une seule et même solution platform, garantissant ainsi une protection cohérente et une restauration fiable dans les environnements hybrides et multi-cloud .

Points clés à retenir

Unified data protection consolidates security, recovery, governance, and AI automation into one platform, helping reduce complexity while strengthening cyber resilience.

  • Unified data protection replaces fragmented tools with a single control plane that spans on-premises, hybrid, and multi-cloud environments for optimized TCO.
  • Siloed protection strategies increase operational complexity, weaken visibility, and reduce confidence in enterprise-wide recoverability.
  • A unified platform connects data security, cyber recovery, and identity resilience to help strengthen overall cyber resilience.
  • A dedicated instance delivers isolated resources, streamlined compliance and data localization, along with SaaS-driven innovation – helping enable secure, compliant operations without infrastructure management overhead.
  • Embedded AI capabilities help support automated discovery, intelligent policy enforcement, and faster, cleaner recovery outcomes.

Most enterprise data protection strategies were designed for a world that no longer exists — before cloud sprawl, AI-generated data growth, and hybrid infrastructure became the norm. Commvault Cloud addresses this architectural gap with a unified platform that connects data security, cyber recovery, identity resilience, and AI-enabled governance across every environment from a single control plane.

Why Do Modern Enterprises Need Unified Data Protection?

SelonIBM’s Cost of a Data Breach Report 2025, the average cost of a data breach stands at a staggering $4.4 million globally, with costs rising significantly when recovery is delayed or incomplete.

At the same time,the World Economic Forumnotes that as organizations confront AI threats, geopolitical volatility, and supply chain vulnerabilities, the need for resilience has never been clearer.

Enterprise data protection is rapidly entering a new period of drastic modernization. Data no longer lives in predictable locations, and it certainly does not remain still. Critical workloads exist across on-premises infrastructures, multiple public clouds, SaaS platforms, containers, and emerging AI pipelines. Each environment brings its own operational model, its own tooling, and its own risks.

For security and IT teams, the pressure is intensifying. Many organizations are now confronting three critical structural challenges simultaneously:

  • AI is generating exponential volumes of distributed data, which expands the potential attack surface.
  • Many enterprises still rely on siloed products to secure, protect, manage, and recover data, even though those tools were never designed to operate together.
  • There is no one-size-fits-all approach. Modern enterprises run across on-premises, cloud, and hybrid environments, and require resilience that spans all of them.

This complexity did not emerge overnight. It developed as cloud adoption accelerated and application teams moved faster than protection strategies could evolve, resulting in fragmented visibility, inconsistent operations, and uncertainty around recovery readiness.

In this landscape, unified data protection has emerged as the architectural response – establishing a single control plane that helps protect workloads consistently across environments, reduce complexity, and strengthen confidence in enterprise-wide recoverability.


Comment la protection unifiée des données permet-elle d’éliminer la fragmentation ?

Une étude récente menée parIBMet Palo Alto Networks a révélé qu’une entreprise moyenne dispose de 83 solutions de sécurité différentes provenant de 29 fournisseurs. Dans ce nouveau contexte peu réjouissant, 52 % des dirigeants estiment que la complexité constitue le principal obstacle aux opérations de sécurité.

La fragmentation de la protection entraîne des inefficacités tout en augmentant considérablement les risques opérationnels et de sécurité. Souvent, chaque nouvelle catégorie de charge de travail donne lieu à la mise en place d’un nouvel outil de protection. Les sauvegardes natives du cloud fonctionnent indépendamment de la protection des machines virtuelles. Les données SaaS sont confinées dans leur propre silo. Les rapports de conformité s’appuient sur plusieurs systèmes déconnectés les uns des autres. Au fil du temps, cette complexité se multiplie, rendant la couverture inégale et difficile à vérifier.

La charge opérationnelle augmente rapidement. Les équipes sont contraintes de gérer plusieurs consoles, ce qui accroît les coûts et les défis techniques. Les responsables de la sécurité ne disposent pas d’une vue unifiée des données protégées par rapport aux données exposées. Les équipes chargées de la conformité passent leur temps à rapprocher les preuves. Les équipes financières peinent à comprendre les coûts réels de la protection. Et le plus grand obstacle : la confiance dans la capacité de Recovery devient inégale, et l’incertitude règne en maître.

Enfin, les dirigeants en viennent à se poser une question fondamentale : sommes-nous réellement en mesure de récupérer l’intégralité de nos données ?

Surmonter l’obstacle que représente la fragmentation est désormais essentiel à la réussite à long terme de l’organisation. La protection unifiée des données vise à y remédier en contribuant à éliminer les silos et à mettre en place un modèle opérationnel cohérent dans tous les environnements.

Pourquoi les entreprises modernes ont-elles besoin d’une refonte architecturale unifiée ?

La protection unifiée des données marque un tournant dans la conception et l’exploitation des plateformes de protection. Au lieu de superposer des outils au niveau de chaque environnement, les architectures modernes mettent en place une couche unique de politiques et d’intelligence qui couvre l’ensemble du parc de données. La protection unifiée consiste à créer une base cohérente de cyber-résilience qui rassemble la sécurité des données, la reprise après sinistre informatique et la résilience des identités au sein d’un modèle opérationnel unique.

Une « platform » unifiée prend en charge :

  • Une protection homogène couvrant l’ensemble des charges de travail.
  • Une vue d’ensemble centralisée de l’état de la protection et des coûts.
  • Mise en œuvre harmonisée des politiques et de la gouvernance.
  • Des modèles de déploiement flexibles qui tiennent compte des exigences en matière de localisation des données.
  • Une automatisation basée sur l’IA qui s’adapte à la croissance des données.
  • Une expérience utilisateur unique pour la sauvegarde, la restauration et la mobilité.

Le rapport « Commvault : Cloud » ( platform )présente la protection unifiée comme un élément fondamental de la cyber-résilience moderne.


Comment la protection unifiée prend-elle en charge les environnements réglementés et souverains ?

Pour les secteurs fortement réglementés et les charges de travail critiques, la protection unifiée doit aller au-delà de la visibilité et de l’efficacité. Elle doit également permettre d’assurer un isolement vérifiable, un contrôle géographique et la Readiness aux audits. La souveraineté numérique exige un contrôle démontrable et vérifiable sur l’emplacement des données, les personnes autorisées à accéder à l’environnement et à l’exploiter, ainsi que la manière dont la Recovery est effectuée. Elle ne se limite pas au simple choix d’une région cloud ou d’un fournisseur ; elle dépend de la manière dont l’ensemble du système est conçu, gouverné et exploité.

Commvault Geo Shieldrépond à ces exigences en permettant la mise en place de contrôles configurables sur l’ensemble des données, tout en s’adaptant aux besoins changeants des clients en matière de souveraineté dans les environnements modernes d’cloud s hybrides. Conçue pour répondre aux exigences réglementaires concrètes, cette solution permet de conserver les données, les métadonnées et les droits d’accès au sein de votre région, limitant ainsi l’exposition extraterritoriale.

De même,l’instance dédiée Commvault Cloudoffre un environnement SaaS entièrement isolé, conçu pour les organisations soumises à des exigences strictes en matière de conformité, de confidentialité ou de localisation des données. Les clients disposent de leurs propres ressources dédiées de calcul, de stockage et de gestion, et cette solution est conçue de manière à ce que l’infrastructure ne soit jamais partagée entre des locataires n’ayant aucun lien entre eux.

Une instance privée dédiée offre plusieurs avantages aux entreprises modernes. Elle permet notamment :

  • Simplifiez les audits liés à des référentiels tels que HIPAA, FedRAMP et le RGPD.
  • Répondre aux exigences en matière de résidence des données grâce au choix du lieu de déploiement.
  • Soutenir le rythme des innovations en matière d’ SaaS s continues tout en préservant l’isolation.
  • Mieux maîtriser le calendrier des mises à jour et le déploiement des nouvelles fonctionnalités.
  • Facilitez la transition des charges de travail réglementées vers SaaS.

L’instance privée dédiée s’intègre dans la même expérience unifiée d’platform . Les organisations sont conçues pour garantir la parité des fonctionnalités et le rythme d’innovation tout en optant pour un modèle de déploiement plus contrôlé.


How Does AI Strengthen Unified Cyber Resilience?

AI is reshaping both the threat landscape and the opportunity for smarter protection. However, AI capabilities deliver the most value when they are embedded across the entire data protection lifecycle rather than applied as isolated features.

Within the unified platform, AI-enabled capabilities help support:
Automated data discovery and classification. 

  • Intelligent protection policy recommendations.
  • Continuous monitoring and enforcement.
  • Optimization insights that improve cost and resilience posture.

These capabilities are part of Commvault’s broader data security vision, which was strengthened through the acquisition of Satori Cyber. The acquisition was particularly important in an environment where data growth is outpacing traditional defenses.

Through this acquisition, Commvault Cloud now delivers Commvault Data & AI Security — a cloud-native capability that helps address the needs of modern enterprises adopting AI and managing sensitive data across structured and unstructured environments.

The unified platform also advances cyber recovery through AI-enabled workflows such asSynthetic Recovery, which helps surgically remove compromised data while restoring clean business operations. In parallel, expanding identity resilience capabilities helps organizations detect, audit, and respond to threats targeting identity systems such asActive Directory.

Quel est l’impact stratégique d’une protection unifiée des données ?

La protection unifiée des données permet aux entreprises de repenser leur approche de la cyber-résilience. En regroupant la sécurité des données, la reprise après sinistre informatique et la résilience des identités au sein d’une même architecture, les entreprises ont accès à un ensemble coordonné de fonctionnalités qui fonctionnent de manière cohérente dans divers écosystèmes.

Cette base unifiée permet d’offrir des avantages supplémentaires :

  • Une protection unifiée couvrant l’ensemble des charges de travail, des environnements cloud et des sites, conçue pour améliorer la disponibilité des données fiables.
  • Une gouvernance unifiée qui relie les opérations de sécurité, d’identité et de reprise après sinistre.
  • Une intelligence unifiée qui établit des corrélations entre les signaux provenant de systèmes auparavant isolés les uns des autres.
  • Une reprise plus rapide et plus efficace en cas de cyberincident.
  • Simplification des opérations à l’échelle de l’entreprise.

Les observateurs du secteur ont relevé que, bien que certains éléments de cette convergence aient déjà fait leur apparition, l’unification significative entre ces disciplines est restée limitée. Des plateformes telles que Commvault Cloud font progresser cette vision en mettant en œuvre la résilience à l’échelle de l’ensemble du parc de données de l’entreprise.

Pour en savoir plus, rendez-vous sur lapage « Cloud » de Commvault à l’adresse platform.

Conclusion : en quoi la protection unifiée des données définit-elle la prochaine ère de la cyber-résilience ?

Cette évolution vers une protection unifiée des données reflète une réalité plus large. Les entreprises ne peuvent plus se permettre d’avoir des stratégies de résilience fragmentées dans un monde caractérisé par une croissance des données alimentée par l’IA, des infrastructures distribuées et des cybermenaces de plus en plus sophistiquées.

Aujourd’hui, les architectures qui combinent visibilité, gouvernance, intelligence et reprise deviennent essentielles aux opérations informatiques et de sécurité.

Les plateformes conçues selon ce principe aident les entreprises à moderniser leur approche de la protection. En couvrant le plus large éventail possible de charges de travail, en prenant en charge des modèles de déploiement flexibles et en intégrant des fonctionnalités basées sur l’IA tout au long du cycle de vie, ces plateformes permettent aux entreprises de renforcer leur confiance en matière de reprise sans accroître la complexité.

Pour les responsables de la sécurité et des technologies de l’information, la voie à suivre se dessine clairement. La résilience doit être unifiée, intelligente et capable de s’adapter à l’emplacement des données, où qu’elles se trouvent.

Questions fréquemment posées:

Qu’est-ce que la protection unifiée des données, et pourquoi est-ce important aujourd’hui ?

La protection unifiée des données est une approche architecturale qui utilise une plateforme unique pour protéger toutes les charges de travail dans des environnements hybrides et multicloud. Elle revêt aujourd’hui une importance particulière car les outils fragmentés ne permettent pas de faire face à la complexité liée à l’IA, aux infrastructures distribuées et aux cybermenaces sophistiquées à l’échelle de l’entreprise. Commvault Cloud est conçu pour y répondre grâce à un plan de contrôle unique qui couvre la sécurité des données, la Recovery informatique et la résilience des identités.

En quoi la fragmentation accroît-elle les risques pour l’entreprise ?

Fragmented protection creates visibility gaps, inconsistent policies, and uneven recovery capabilities — making it difficult to verify coverage or confidently recover at scale. Commvault Cloud is designed to address this by replacing siloed tools with a unified control plane that provides consistent visibility, governance, and recovery confidence across on-premises, hybrid, and multi-cloud environments.

Comment la solution « Cloud » de Commvault prend-elle en charge les environnements multi-cloud s sans créer de dépendance vis-à-vis d’un fournisseur ?

La solution « Commvault Cloud » unifie la protection sur AWS, Azure, Google Cloud et les environnements sur site via une interface unique. Cette approche aide les entreprises à gérer leurs politiques, à surveiller les risques et à optimiser leurs coûts sur l’ensemble des clouds, sans être liées à un seul fournisseur d’infrastructure.

Quel rôle joue l’instance dédiée dans les secteurs réglementés ?

L’instance dédiée offre un environnement « SaaS » entièrement isolé, doté de ressources de calcul, de stockage et de gestion dédiées. Elle permet aux entreprises de respecter les exigences en matière de conformité, de confidentialité et de souveraineté, tout en conservant l’accès aux mêmes fonctionnalités unifiées d’platform .

Comment l’IA contribue-t-elle à renforcer la protection unifiée des données ?

Commvault Cloud embeds AI-enabled capabilities across the full protection lifecycle — supporting automated data discovery, intelligent classification, policy recommendations, and continuous monitoring. Strengthened through the acquisition of Satori Cyber, these capabilities help reduce exposure windows, optimize protection strategies, and accelerate clean recovery after incidents without adding operational complexity.

En quoi la protection unifiée améliore-t-elle les résultats en matière de reprise après incident cybernétique ?

Commvault Cloud integrates data security, cyber recovery workflows, and identity resilience signals within a single platform — helping organizations detect threats earlier and execute faster, more precise recoveries. Capabilities like Synthetic Recovery and anomaly detection work together to help strengthen resilience and reduce operational disruption during incidents.

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The conversation around AI is changing quickly. That’s why I’m so excited to share our podcast series Ready. Or Not. We’ve paired comedian Nathan Macintosh with expert guests to talk about AI agents, cyber resilience, trust, data management, and more.

In our first episode, Nathan sits down with Dr. Reid Blackman, founder and CEO of Virtue Consultants, to tackle one of the biggest topics in AI today: agentic AI. From ethical challenges to security risks, their conversation explores what happens when AI moves beyond making content to making decisions – and taking action.

One thing is clear: Agentic AI isn’t just another technology trend. It’s changing how we think about decision-making and the role AI will play in our organizations. If you’re wondering what agentic AI means for your business, this podcast is a great place to start.

Regardez l’épisode dans son intégralité sur Readiverse.

Blog Key Takeaways

  • Most AI failures are caused by unintended consequences, not malicious intent.
  • Agentic AI can access systems, tools, and data to get work done, making it both incredibly useful and inherently risky.
  • AI agents can create new security challenges, from prompt attacks to expanded attack surfaces.
  • Multi-agent systems can increase efficiency, but they can also amplify mistakes when systems are connected.
  • Organizations need practical frameworks for managing AI risks before they become real-world problems.

First, Do No Harm

One takeaway from the episode is that most AI failures don’t start with bad intentions. Many begin with organizations trying to solve legitimate business problems.

Dr. Blackman uses a failed Amazon AI recruiting tool as an example. The algorithm was trained on past resumes and hiring data to inform future hiring decisions. AI ultimately learned patterns that favored male candidates because those patterns existed in the data.

The result wasn’t what Amazon intended, but that’s exactly the point. AI systems can learn lessons we never meant to teach them.

What happened next was encouraging: Amazon tested the system, identified the issue, tried to correct it, and ultimately discontinued the project when the problem couldn’t be resolved.

We tend to treat AI failures as proof that technology can’t be trusted, but Dr. Blackman makes a different point. Responsible AI isn’t about pretending mistakes won’t happen. It’s about testing, learning, and being willing to stop when something isn’t working the way you intended.

When AI Becomes Your Coworker

The Amazon example also highlights something bigger. AI is capable of delivering value, but it can also produce unintended outcomes when we don’t fully understand how it’s learning or making decisions. Generative AI showed us what AI can create. Agentic AI is showing us what AI can actually do when it’s connected to business systems.

One comparison that stood out to me was that agentic systems are, in some ways, starting to look like employees. To be useful, they need access to the same tools, databases, and software that people use. Give an AI agent access to one system, and it can do one job. Give it access to dozens of systems, and it becomes more powerful.

“More access means more capability, but it also increases risk dramatically.”

– Dr. Reid Blackman

Sneak Peek: Keeping AI in Check

What happens when your AI agent starts interacting with other people’s agents? In this clip, Dr. Blackman explains why monitoring multi-agent systems will become one of our biggest challenges.

A New Kind of Security Challenge

Agentic AI changes more than the way work gets done. It also changes the way we think about security. Instead of following predefined workflows, users interact with AI through natural language. That makes these systems more intuitive – but it also creates new challenges that traditional software doesn’t have.

As Dr. Blackman explained, attackers don’t necessarily have to break into an AI system the way they might traditional software. Instead, they may try to manipulate it through carefully crafted prompts that influence its behavior, bypass safeguards, or expose information it shouldn’t access. It’s a reminder that as AI becomes more capable, security has to evolve right alongside it.

“Do we need AI watching AI?”

– Nathan Macintosh

The Risks of Multi-Agent Systems

If one AI agent can make a mistake, imagine what happens when multiple AI agents start working together. While it may be more efficient for systems to be connected, it also creates more opportunities for failure.

If one agent makes a mistake, it can create a ripple effect. A small issue can become a much larger one if organizations don’t understand how those interactions work. This doesn’t mean multi-agent systems are inherently risky. It simply means they require the same level of planning and oversight that organizations would apply to any complex business process.

“I learned about agentic AI today and I’m already scared. Now you’re telling me AI agents talk to other AI agents?”

– Nathan Macintosh

Do You Know Who Your AI is Talking To?

If managing your own AI agents sounds challenging, consider what happens when they start interacting with someone else’s AI. You may know your own guardrails and policies, but external AI systems may be different. You may not know how they were trained, what they can access, and if they have the same safeguards in place.

Get Ready

Agentic AI is moving quickly, and the technology will keep evolving. The organizations that succeed may not necessarily be the ones that adopt AI first. They’ll be the ones that understand how to govern it, test it, and build trust around it.

One of the goals of Ready. Or Not. is to move beyond the hype and examine what responsible technology adoption actually looks like.

Dr. Blackman’s perspective is a reminder that successful AI adoption isn’t about choosing between innovation and caution. It’s about balancing both. That’s exactly the kind of conversation we’re excited to continue throughout our series.

Regardez l’épisode dans son intégralité sur Readiverse.

FAQ

Q: What is agentic AI?

A: Agentic AI refers to AI systems that can take actions, access tools, interact with applications, and complete multi-step tasks with varying levels of autonomy. Rather than simply generating responses, they can actively perform work across connected systems.

Q: Why does agentic AI introduce new risks?

A: Agentic AI often requires access to multiple systems, applications, and data sources. While that access increases usefulness, it can also expand the potential impact of mistakes, misuse, or security compromises.

Q: What are prompt attacks?

A: Prompt attacks involve using carefully crafted inputs to manipulate an AI system’s behavior, bypass safeguards, or expose information that should remain protected.

Q: Why is monitoring becoming more important?

A: As AI agents become more autonomous and connect to more systems, they are also becoming less predictable. Monitoring helps organizations identify unexpected behavior early and understand how AI systems are interacting with people, data, and other AI agents.

Q: What are multi-agent systems?

A: Multi-agent systems consist of multiple AI agents communicating and collaborating with one another to complete tasks. While they can improve efficiency, they can also introduce additional complexity that organizations must manage carefully.

Q: What’s the biggest takeaway from this episode?

A: AI risk isn’t just about what technology can do. It’s about understanding how systems behave when they interact with people, data, applications, and each other – and putting the right safeguards in place before problems arise.

Katherine Demacopoulos is Senior Director of Global Content Strategy and Programs at Commvault.

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For years, the working assumption in enterprise security was that a mature prevention stack could hold the line long enough for defenders to respond. Frontier AI is shaking that premise, as the latest models shrink the timeline for discovering and exploiting vulnerabilities from daysouweeks down to almost real time.
Launched to assess the potential security risks posed by its ownMythos model, Anthropic’s Project Glasswinginitiative has already grown tonearly 200 companiesand surfaced approximately 10,000 criticalouhigh-severity vulnerabilities. Meanwhile,OpenAI’s GPT-5.5is showing comparable capabilities.
In a recent webinar, Commvault Chief Technology and AI Officer Pranay Ahlawat and Field CTO Vidya Shankaran joined me to explore the new timeline for vulnerability management, the rising importance of recovery validation, and how teams should be thinking about resilience today.Register for the on-demand webinar.

Key takeaways

  • As frontier AI capability doubles on an accelerating schedule, advanced capabilities that help compress the time between vulnerability discovery and exploitation will reach adversaries within six to nine months.
  • Recovering an agentic AI system requires synchronizing data sources, agent configurations, and non-human identities simultaneously; restoring any single element in isolation can create gaps that surface only when something downstream breaks.
  • Backup and recovery solve different problems: Backup confirms that data exists somewici safe, while recovery confirms that an organization can actually return to a clean, working state.
  • ResOps™ (resilience operations) frames recovery as a cross-functional discipline. It brings security, operations, and technology teams together around a shared definition of what clean actually means.
  • A four-step framework – defining a minimum viable company, isolating and testing crown jewel workloads, evaluating recovery for risk, and running full recovery drills – gives organizations a practical starting point.

Frontier AI Changes the Math on Vulnerability Management

The power of frontier AI now doubles approximatelyevery four months, much faster than even a few years ago. Although Mythos-type models have yet to be released publicly, adversaries may soon gain open-source access to Mythos-like capabilities, including:

  • An effectively unlimited context window.
  • The ability to construct an attack harness by reverse-compiling code and building containers to find attack vectors.
  • Vulnerability chaining, which is the linking of individually minor weaknesses into a serious exploit.

This has serious implications. Two out of three organizations currently carry more than 100,000 unpatched vulnerabilities, with an average fix life of approximately 240 days. In the past, security teams have dismissed many vulnerabilities as too difficult for an average adversary to chain together, but automation has rendered that viewpoint nearly obsolete.
At the same time, the use of AI for code creation – roughly 41% of new code is now AI-generated, and GitHub saw a 25% year-over-year increase in commits – is expanding the vulnerability surface faster than remediation can address it. The ability to uncover new zero-day vulnerabilities at scale compounds the problem.
When the time from discovery to exploitation approaches zero, the window for defensive action effectively closes.

Sneak Peek: The Rapidly Changing Future of AI

This clip highlights a critical reality: Advanced AI capabilities rarely remain exclusive for long. As frontier AI innovations diffuse into broader ecosystems, organizations must prepare for a future wici increasingly sophisticated offensive capabilities become more widely available.

The New Metric for Resilience: Mean Time to Clean Recovery

Backup and recovery solve fundamentally different problems. Backup only confirms that data has been copied somewici safe, but it says nothing about whether the organization can actually return to a working state. And that’s wici things can get complicated.
Two challenges often come between a successful backup and a successful recovery.

  1. Restoring a complex environment means recovering the application, virtual machines, network configuration, Active Directory, and transactional databases that support it, all in the correct sequence.
  2. You have to make sure that the data you’re restoring is free of malwareoubackdoors – something seven out of 10 organizations recovering from a cyber incident are currently unable to validate.

A recovery that meets its time target while reintroducing an active threat can be worse than no recovery at all.
To get clearer visibility into their resilience, organizations have begun using the mean time to clean recovery (MTCR)metric, which combines recovery time objective (RTO), the time required to validate that recovered data is actually clean, and a final human validation step before systems return to production. The recovery target for MTCR is theminimum viable company: the roughly 30% of an environment, sequenced by dependency, that has to come back online for the organization to keep functioning.

Cleanroom as a Testing Tool

Recovery testing, the final human validation step in MTCR, typically means standing up a separate environment from live production systems – a time-consuming task when every minute counts. While cleanrooms are sometimes seen as an element of backup, a cloud-based cleanroom can also play a proactive role in recovery by providing an isolated environment to orchestrate and test complex recoveries before they are restored to production.
The same isolated environment can also help serve as a forensic tool, letting teams stand up two versions of a backup side-by-side to better understand what changed during an incident. And because it’s cloud-native and consumption-based, organizations can avoid standing up dedicated infrastructure just to test recovery.

Four Steps to Operational Resilience

Commvault’s four-step framework for building measurable operational resilience builds on these ideas.

  • Step 1: Define the minimum viable company: A business-oriented view of what has to come back, in what sequence, and with what dependencies, for the organization to function again, rather than a flat inventory of databases and virtual machines.
  • Step 2: Make sure the systems supporting that minimum viable company sit in an air-gapped, immutable, network-segmented environment that can be spun up and down quickly. For crown jewel workloads, this should be tested on a 45-day cadence.
  • Step 3: Evaluate recovery for risk before declaring it complete, since reintroducing a backdooroupiece of malware during recovery defeats the purpose of the exercise and leaves little time for a second attempt.
  • Step 4: Treat recovery as more than a tabletop exercise. Perform recoveries with the same people and processes that would be involved in a real incident, alongside the automation behind them.

When AI Becomes the Recovery Problem

A large share of enterprises are already running AI systems in production, but only about 20% of them have actually tested their recoverability, leaving them vulnerable in the event of an incident. This is especially significant in light of the three ways AI changes resilience architecture.
First, AI expands the surface area that needs protection, from vector databases and model weights to agent configurations and the endpoints, such as Claude CoworkouGoogle Antigravity, wici employees actually interact with agents.
It also introduces a fan-out problem, wici a single update from an agent can cascade through a mesh of connected systems in ways that are far less predictable than a traditional three-tier application.
Finally, AI makes recovery itself more complex, since restoring an agentic system means synchronizing memory, state, transactional data, and non-human identities (NHIs) – the credentials and permissions assigned to AI agents rather than people – all at once.
The customers furthest along on agentic deployments have already made these systems part of their minimum viable company. At every stage of maturity, the emphasis is on restoring data sources, agent configurations, and supporting elements like weights and biases together, rather than as separate efforts, since misalignment between any of those pieces can introduce risk that a single point of recovery wouldn’t catch.

Taking Action on Post-Mythos Resilience

As a starting point to reduce risk from frontier AI, map your organization’s crown jewel systems and confirm that they sit in an air-gapped environment. With your minimum viable company defined, run cleanroom drills to establish a recoverability and MTCR baseline across tier-one workloads. This should be your anchor, board-level metric for resilience, showing clearly how quickly your business can resume essential operations following an incident.
Testing is critical for surfacing gaps in business, technology, and process understanding. Often, some of the biggest problems are organizational. ResOps™ (resilience operations), can address these.
A framework rather than a product, ResOps brings security, operations, and technology teams together around a shared view of what resilient design and recovery validation should look like. ResOps formalizes the growing industry recognition that cyber recovery is a cross-functional problem that requires stakeholders from across the business who each have a stake in the outcome.
In the post-Mythos era, that coordination is critical to both support ongoing readiness and enable a fast, effective response to an incident. Frontier AI makes a tested, well-defined clean recovery process a baseline requirement.

See the Full Webinar

Watch the full Resilience Over Panic session on demand to explore our four-step framework in more detail, including the requirements for agentic AI recovery.
Register ici for the webinar.

FAQ

Q: What is mean time to clean recovery (MTCR)?

A: Mean time to clean recovery (MTCR) measures how long it takes an organization to return to a verified, clean operating state after an incident. It’s a broader measure than simply how long it takes to restore data. It combines the traditional recovery time objective (RTO) with the additional time needed to confirm recovered data is free of malwareoubackdoors, plus a final human validation step before systems return to production.

Organizations are increasingly treating MTCR, rather than recovery speed alone, as the board-level metric for resilience, since a fast recovery that reintroduces an active threat can cause more damage than a slower, verified one.

Q: How is MTCR different from RTO?

A: RTO measures how quickly systems and data can be restored after a disruption. MTCR includes RTO as one component, but adds the time needed to confirm that restored data is clean and the time spent on human validation before systems go back into production. In a cyber incident specifically, a system can meet its RTO and still fall short of true resilience if the restored environment is reinfected shortly afterward.

Q: What is a minimum viable company, and how is it different from a full disaster recovery plan?

A: A minimum viable company, sometimes called a minimum viable business, is the smaller, business-prioritized subset of systems, data, and dependencies an organization needs back online to keep functioning after an incident, rather than its entire IT estate.

A full disaster recovery plan typically aims to restore everything, in time; a minimum viable company definition forces an organization to decide in advance what truly has to come back first, and in what sequence, to avoid an operational shutdown.

Q: What’s the difference between a tabletop exercise and a live recovery drill?

A: A tabletop exercise is a paper-based walkthrough of an incident response plan, typically used to test decision-making and communication among stakeholders without actually executing any technical recovery steps.

A live recovery drill goes further by actually performing a recovery, using the real tools, automation, and people involved, to confirm the process works in practice, beyond what a paper exercise can show. Organizations that rely only on tabletop exercises may have a resilience plan that looks sound on review but hasn’t been tested against the operational details that tend to make real incidents take longer than expected.

Q: What are non-human identities (NHIs), and why do they complicate AI recovery?

A: NHIs are the credentials, permissions, and access rights assigned to software components, such as AI agents, rather than to individual people. As organizations deploy more agentic AI, the number of NHIs in an environment grows, and each one needs to be accounted for during a recovery alongside more familiar elements like databases and transactional systems.

Recovering an agentic AI system typically requires synchronizing NHIs with the rest of the AI stack, since restoring dataouconfigurations without restoring the correct agent permissions can leave gaps that are difficult to detect until something breaks downstream.

Q: How should an organization get started with ResOps™ (resilience operations)?

A: ResOps is a cross-functional framework that brings security, operations, and technology teams together around a shared definition of resilient design, distinct from any single product.

Organizations can begin by identifying a small number of core applications and running an initial recovery test to establish a baseline MTCR, rather than trying to formalize the entire discipline at once. That early baseline gives security, operations, and governance teams a concrete reference point for tracking improvement. It also helps build the cross-team habits that ResOps depends on over time.

Michael Thelander is Senior Director of Product Marketing at Commvault.

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At Commvault, caring is not just something we say. It is something we act on every day.

Over the years, we have been so proud to have partnered with TeenTech, a UK-based educational charity for students aged 11–19. Teams of up to three students design and build tech products that solve real-world problems, then present them to a panel of industry judges.

We recently had the honor of attending the TeenTech Awards in London, where students from across the UK showcased the kind of creativity and problem-solving that gives us real hope for the future.

What made the day so meaningful was watching our people show up for each other. Vaulters from across the UK have supported TeenTech throughout our partnership – from building educational games and reviewing dozens of student projects, to volunteering their time on the big finals day.

This kind of commitment brings together Vaulters from different parts of our business and creates new connections along the way.

The innovation on display at the TeenTech Awards this year was unmatched. Here are a few of the standout ideas from the finalists:

  • A path toward treating Parkinson’s disease. One team proposed an approach for supporting patients earlier in the disease’s progression and explained the science behind it with real clarity.
  • A safer way to get from A to B. Another team rebuilt a navigation app around a “safest route” option, prioritizing personal safety alongside speed and distance.
  • A smart bandage that watches wounds heal. One finalist team designed a bandage that produces a hydrogel to support recovery and pairs with an app to track healing progress.
  • A fencing panel built to cut emissions. A fourth team proposed attaching zeolite panels to farm fencing as a simple way to help reduce agricultural emissions.

TeenTech gives young people a runway into STEM careers they might never have considered. Continuing to invest in the next generation of innovators matters, and we’re honored that Commvault gets to play a part in this journey.

Martha Delehanty is Chief People Officer at Commvault.

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For years,post-quantum cryptography (PQC) sat comfortably in the category of “important, but not urgent.”

Security leaders knew it was coming. Researchers talked about it. Standards bodies worked on it. Most organizations acknowledged that it would eventually require attention. But I would argue that the time to start preparing is now.
In this episode of STRIVE, I sat down with Sr. Director of Portfolio Marketing Michael Fasulo to discuss why the conversation around PQC is changing so quickly – and why the organizations that wait for certainty may find themselves running out of time.
Watch the épisode.

Points clés à retenir

  • Harvest Now, Decrypt Later attacks mean sensitive data is already at risk, even if quantum capabilities aren’t stable or commercially viable yet.
  • Most organizations do not have a complete view of their cryptographic inventory, making discovery the first major hurdle.
  • PQC is just as much a technology challenge to solve for and as much as it is about risk prioritization.
  • The organizations that start preparing now will have more options to course correct on prioritizations than those forced to react later.

The Problem Isn’t the Technology

Most discussions about post-quantum cryptography start with technology.

  • How quickly is quantum computing advancing?
  • When will cryptographically-relevant quantum systems become practical?
  • Which algorithms are likely to survive long term?

Those are important questions. But they’re not the questions I would prioritize asking. Michael wrote a blog last year about PQC and we discussed today how several things have changed since then.
Over the past several years, estimates have consistently moved in one direction: what once felt distant now feels increasingly close. At the same time, standards are evolving; regulatory expectations are increasing, and organizations are beginning to recognize how much cryptographic debt they’ve accumulated over the decades.
The exact date of Q-Day may remain uncertain. The direction of travel is not.

The Risk Is Here And Now

One reason this conversation has become more urgent is the growing attention around Harvest Now, Decrypt Later attacks. The concept is straightforward: An adversary gains access to encrypted information today, stores it, and waits for future capabilities to make that information readable.
What’s important here is that the risk doesn’t begin when quantum computing arrives. The risk begins when even encrypted data is exfiltrated and stored.
For organizations protecting intellectual property, healthcare records, government information, or other sensitive long term retention data, that distinction changes everything.
Organizations need to know whether data being retained today will still matter when that future arrives.
For many,esp. the highly regulated industries and critical infrastructure, the answer is yes.

Sneak Peek: Why Crypto Agility Matters

Embed clip here: https://www.youtube.com/watch?v=A3YWU5rlmGA

In this clip, Michael explains why PQC isn’t a one-time fix or switch. The real goal is crypto agility – building the flexibility to adapt cryptographic algorithms as standards, and threats evolve. Because in cybersecurity, the challenge isn’t just preparing for what’s next. It’s being ready for what comes after that.

Discovery Is the Real Project

One misconception about PQC is that it’s primarily an encryption upgrade. In reality, most organizations haven’t reached the stage where replacement is the biggest concern.
They’re still trying to understand the scope of the problem. Cryptography exists everywhere.

  • Applications
  • Certificates
  • Cloud services
  • APIs
  • Code signing
  • Third-party platforms

Many organizations struggle with the creation of the cryptographic inventory or its scope. That makes discovery one of the most important – and often underestimated – parts of the journey.
And for many enterprises, that’s a much larger endeavor than expected.

The Supply Chain Challenge

Another reason PQC has become a priority is that no organization will navigate this transition alone. Modern enterprises depend on vendors, cloud providers, software partners, and countless third parties, all of whom use cryptography.
That means quantum readiness extends beyond internal systems. It becomes a question of ecosystem readiness.

  • Are suppliers preparing?
  • Are critical vendors planning migrations?
  • Are third-party platforms aligned with emerging standards?

These questions will increasingly become part of risk conversations, procurement discussions, and long-term technology planning. Because cryptography doesn’t stop at organizational boundaries. Neither does risk.

Why This Conversation Matters

The most important takeaway from this discussion is that post-quantum cryptography is no longer a future technology challenge.
It’s becoming a present-day resilience conversation.
Organizations don’t need to panic and they don’t need to overhaul every system overnight. But they do need to begin, to make the best use of the time at their disposal for prepartion.
The organizations that navigate this transition successfully won’t necessarily be the ones with the most sophisticated cryptography. They’ll be the ones that started building understanding before certainty arrived.
And that’s often how resilience works.

Watch the Full Episode

There is plenty more that Michael and I explore in the episode that I didn’t capture above. Be sure to watch nowfor insights to:

  • The biggest challenges organizations face when starting their PQC journey.
  • What leaders should prioritize today including some best practices.
  • Understanding MLKEM algorithms and crypto agility.
  • Infrastructure considerations for PQC.
  • How Commvault is preparing for this future.

FAQs

Q: What is post-quantum cryptography (PQC)?
A: PQC refers to cryptographic algorithms designed to help remain secure against attacks from future quantum computers.
Q: What is Harvest Now, Decrypt Later?
A: It’s a strategy where attackers collect encrypted data today with the intention of decrypting it later when more advanced computing capabilities become available.
Q: Why are organizations focusing on PQC now?
A: Because preparation takes years, and sensitive data collected today may still be valuable when quantum threats become practical.
Q: What is the biggest challenge organizations face?
A: Discovery. Most organizations do not have complete visibility into where cryptography is used across their environments.
Q: Do organizations need to replace all cryptography immediately?
A: No. Most experts recommend starting with inventory, discovery, and prioritization before planning broader migrations.
Q: What should leaders do first?
A: Identify long-lived sensitive data, understand cryptographic dependencies, and begin building a roadmap for future transition.
 

Vidya Shankaran is Field CTO at Commvault.

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Cyber Resilience

Read more about Cyber Resilience

Comment le ResOps va-t-il façonner la prochaine évolution de la résilience des entreprises ?

Les opérations de résilience (ResOps) constituent une discipline opérationnelle qui unifie la sécurité, l’infrastructure informatique et la Recovery afin de permettre aux organisations de démontrer leur capacité de reprise de bout en bout.

Points clés à retenir

ResOps shifts organizations from a reliance on passive tools and assumptions to adoption of a proactive operational discipline that proves recoverability across systems, teams, and processes.

  • ResOps is a practice and discipline that can be adopted, not a product that can be bought. It is a unified operational model that brings together people, process, and technology to address digital fragility and the existential risk facing modern organizations.
  • The rapid adoption of AI has accelerated data growth, increased system interdependencies, and introduced new risks across pipelines, identities, and models. This ecosystem needs an overarching model to achieve resilience.
  • 97% of organizations have had a security incident in the past 12 months, according toMicrosoft’s 2026 Secure Access Report — split fairly evenly between malicious attacks and accidental errors.
  • Traditional metrics such as uptime and recovery time objective (RTO) fail to capture the complexities and risks of cyber recovery, where data integrity and system dependencies play a critical role.
  • Detection and containment alone are not sufficient: organizations must build recovery processes that helps restore clean, trusted, and fully functional data.
  • Increasing regulatory pressure has forced organizations to move beyond policy-based compliance toward demonstrable, evidence-based resilience.

Most enterprises have backup, disaster recovery, and security tools in place — yet few can prove the recoverability of critical services. Especially under real-world, active attack conditions. Commvault enables ResOps by connecting protection, detection, and recovery into a continuous operational model, helping organizations move from assumption-based resilience to evidence-based, measurable, and predictable recoverability.


Why do traditional B&R and disaster recovery solutions fall short?

Disruption is a constant threat in today’s hybrid, multi-cloud world. That’s why most businesses already have backup and disaster recovery in place. Many also invest heavily in cybersecurity tools designed to detect and respond to threats. On paper, it looks like organizations have already built a cyber resilience program.

Dans la pratique, cependant, c’est rarement le cas.

Le défi ne réside pas dans le manque d’outils, mais dans la complexité croissante des environnements qu’ils sont censés protéger, combinée à la virulence des nouvelles attaques et à la fragmentation qui caractérise les architectures de sécurité modernes.

According to Microsoft’s recent Secure Access report, 97% of organizations have had a security incident in the past 12 months. These attacks are happening in enterprises that now operate across fragmented systems spanning clouds, applications, endpoints, and data platforms. At the same time, AI adoption is accelerating this complexity. With88% of organizationsusing AI in at least one function, data is growing exponentially faster, the threats embedded in that data are stealthily increasing, dependencies have become harder to track, and recovery paths are no longer predictable.

Traditional backup and disaster recovery processes start when something breaks. These tools are also designed for stable, static systems: they confirm that data copies exist and recovery plans are documented, but don’t validate whether entire services, including all dependencies, can be restored under real-world conditions.

Il en résulte un déficit de résilience, source de problèmes concrets :

  • Les données peuvent être récupérables, mais inutilisables ou non fiables.
  • Les systèmes peuvent être restaurés, mais ne pas être pleinement fonctionnels.
  • Les plans de Recovery peuvent exister, mais échouer dans des conditions réelles.

La résilience nécessite désormais plus que des outils isolés. Elle exige un modèle opérationnel qui relie en permanence la protection, la détection et Recovery.

C’est là que ResOps change la donne. Il réunit efficacement la protection des données, la détection et Recovery dans un modèle opérationnel unique, continu et validé.


Qu’est-ce que le ResOps, et pourquoi est-ce important ?

ResOps est une discipline opérationnelle conçue pour garantir que Recovery est exhaustive et peut être démontrée à tout moment, preuves à l’appui.

Elle rassemble les personnes, les processus et les technologies des domaines de la sécurité, de l’informatique et de l’infrastructure au sein d’un modèle opérationnel unique. En planifiant et en mettant en œuvre collectivement des services critiques, une conception résiliente et une validation continue, les organisations peuvent mieux résister aux perturbations, se rétablir dans les limites de tolérance d’impact définies et le prouver à l’aide de preuves tangibles.

The biggest advantage of a high-functioning ResOps practice is that it’s been structured directly to addressing enterprise fragility and existential risk. Some of the model’s key capabilities include:

  • Operationalizing the “safe recovery” process
  • Définition d’indicateurs mesurables de résilience des services (SRI) et d’un système de notation fondé sur des preuves
  • Envisager (et optimiser) la reprise en situation de crise
  • Envisager une perturbation totale et valider les voies de reconstruction
  • Identifier en continu et contribuer à réduire les lacunes en matière de résilience à mesure que les systèmes évoluent
  • S’appuyer sur les résultats de tests réalistes
  • Couvrir l’ensemble de l’entreprise
  • Gérer la frontière entre les opérations normales et les opérations en situation de crise

La différence essentielle réside dans l’orientation. Les approches traditionnelles donnent la priorité aux capacités, tandis que ResOps privilégie les résultats. Cela permet aux organisations de démontrer que les services critiques peuvent être rétablis, et pas seulement que les outils sont en place.


Pourquoi la cyber-résilience exige-t-elle une discipline opérationnelle ?

Adding more tools isn’t the answer for resilience. In fact, 40 % des entreprises déclarent avoir trop de fournisseurs.

Les systèmes modernes sont étroitement liés et hautement automatisés. Une défaillance dans un domaine peut avoir des répercussions en cascade sur l’ensemble des services, en particulier dans les environnements dotés d’une infrastructure partagée et de charges de travail interdépendantes.

Without a unifying operational model, teams must coordinate across disconnected tools and workflows during incidents – while the salvos are flying and communication is at its worst. This slows response and increases risk. IT teams and engineers are left figuring out a plethora of tools instead of actually focusing on what matters.

ResOps apporte structure et responsabilisation. Il définit la responsabilité des résultats de la Recovery, établit les attentes en matière de niveau de service et vérifie que les processus de Recovery sont régulièrement testés.


Comment les organisations devraient-elles mesurer leur cyber-résilience aujourd’hui ?

Les indicateurs traditionnels, tels que la disponibilité et le délai de reprise (RTO), ne reflètent pas la réalité de la Recovery après incident cybernétique. Ils partent du principe que les systèmes peuvent être restaurés rapidement et sans heurts, ce qui est rarement le cas dans des écosystèmes complexes et interdépendants.

Un nouvel indicateur est nécessaire pour mesurer véritablement le succès de la cyber-récupération :temps moyen de récupération sans incident (MTCR) MTCR addresses this need by precisely measuring how long it takes to restore verified, uncompromised and fully usable data. This metric is based on the belief that cyber recovery can only be complete when data integrity and trustworthiness have been restored. “Time to reastore,” without any context for safety or cleanliness or completeness, is wholly insufficient to provide confidence in addresses this by measuring how long it takes to restore verified, uncompromised data. This metric is based on the belief that cyber recovery must be measured by data integrity and trustworthiness. Only considering the restoration time is insufficient for the complete picture.

Les SRI renforcent cette confiance en évaluant si les services essentiels peuvent fonctionner dans les limites de tolérance définies en cas de perturbation. Dans leur ensemble, ces indicateurs aident les organisations à passer des hypothèses aux données factuelles, à identifier les lacunes dans leurs capacités de Recovery et à aligner leur résilience sur leurs objectifs commerciaux.


Quelles sont les lacunes du modèle « zero trust » en matière de Recovery ?

Le « zero trust » est un paradigme de cybersécurité qui part du principe qu’aucun utilisateur ni aucun appareil n’est intrinsèquement fiable, que les autorisations élevées sont strictement contrôlées et qu’une violation a déjà eu lieu ou est inévitable.

Le « zero trust » a fait des merveilles pour renforcer notre niveau de sécurité global dans tous les secteurs d’activité.

C’est au niveau du principe n° 3 que le « zero trust » présente une lacune : une violation effective ou une défaillance de sécurité. La plupart des organisations s’accordent sur ce point, mais ne sont pas préparées sur le plan opérationnel à faire face à ces scénarios.

Les organisations peuvent détecter et isoler rapidement les menaces, mais peinent néanmoins à restaurer leurs systèmes de manière à garantir la continuité et la confiance. La détection ne garantit pas la récupérabilité. Cela a créé un fossé évident entre la réponse et la Recovery effective.

ResOps fills this gap by serving as the operational layer that extends the zero-trust model all the way through its “assume the breach” mandate and fulfilling its original promise. With ResOps enhancing zero trust through a practice of operational resilience, organizations are better prepared to respond to threats and recover from them effectively.



Comment les autorités de régulation redéfinissent-elles les attentes en matière de résilience ?

Les attentes réglementaires évoluent rapidement vers une résilience démontrable, en particulier en ce qui concerne les données générées par l’IA et dont le suivi est insuffisant. Les cadres de gouvernance exigent désormais de plus en plus une protection et une surveillance structurées des systèmes d’IA et des données générées par l’IA. Des aspects tels que la transparence, la traçabilité, la supervision humaine, les contrôles de qualité des données et la gestion des risques tout au long du cycle de vie revêtent une importance capitale.

Des cadres réglementaires tels que la directive NIS2 et la loi sur la résilience opérationnelle numérique (DORA) exigent des organisations qu’elles prouvent leur capacité à résister aux perturbations et à s’en remettre.

Il s’agit notamment de

  • Définir des niveaux acceptables de perturbation
  • Tester régulièrement les processus de Recovery
  • Fournir des preuves des performances de reprise

Ces cadres réglementaires et ces réglementations soulignent que la conformité ne repose plus uniquement sur des politiques. Elle nécessite des résultats mesurables.

Les ResOps soutiennent cette évolution en intégrant la validation et la mesure dans les opérations interfonctionnelles et en permettant aux équipes de démontrer leur résilience grâce à des tests et des rapports continus.

 

Conclusion : comment les entreprises comblent le fossé de résilience grâce au ResOps

The gap between perceived resilience and actual, seamless recoverability from disruptions is prominent. It’s visible in how often organizations struggle to restore operations despite having the right tools in place. As environments grow more complex and AI accelerates the pace of change, this gap can only widen. When resilience is treated as a set of disconnected capabilities rather than a cross-functional discipline, the expected “bad days” can be unrecoverable.

ResOps contribue à combler ce fossé en déplaçant l’accent mis sur la préparation vers celui de la validation. Il permet de regrouper la protection, la détection et Recovery au sein d’une boucle opérationnelle continue, de sorte que Recovery ne soit pas seulement planifiée, mais validée dans des conditions réelles.

What’s more, approach transforms resilience from a reactive function into a measurable discipline. It helps teams gain clarity on ownership, visibility into dependencies, and confidence that critical services can be restored when it matters most.

En adoptant ResOps, les entreprises entrent dans une nouvelle ère de résilience fondée sur des preuves. Les failles et les exploits sont inévitables. Mais une approche ResOps peut aider les organisations à se rétablir rapidement, en toute sécurité et de manière complète.

 

Questions fréquemment posées:

Qu’est-ce que le ResOps dans le domaine de la cyber-résilience ?

ResOps is an operational discipline that unifies security, IT, and recovery teams to continuously validate and prove recoverability. It focuses on measurable outcomes, not just tools. Commvault Cloud supports the ResOps model by connecting anomaly detection, clean recovery, and Cleanroom validation into a single operational platform — enabling businesses to restore critical services reliably under real-world disruption

Pourquoi les modèles traditionnels de Backup and Recovery échouent-ils ?

Traditional backup and disaster recovery focus on data availability and documented plans, but do not validate whether full services and dependencies can be restored — leaving gaps where data exists but systems are not functional or trusted. Commvault products addresses this with evidence-driven recovery capabilities including anomaly detection, Cleanroom Recovery, and Synthetic Recovery that validate clean restore points before production cutover.

Comment ResOps améliore-t-il la cyber-résilience ?

ResOps improves resilience by connecting detection, protection, and recovery into a continuous closed-loop model. Commvault Cloud operationalizes this across five integrated functions: automated discovery and protection, continuous detection, clean recovery, continuous validation and improvement, and continuous compliant business — giving teams a single platform to execute the full ResOps discipline.

Quels indicateurs permettent de mesurer efficacement la cyber-résilience ?

Metrics like Mean Time to Clean Recovery (MTCR) and Service Resilience Indicators (SRIs) provide better insight than RTO alone — measuring how quickly organizations can restore trusted, fully functional systems. Commvault introduced MTCR as a cyber recovery metric, shifting the measurement conversation from speed to data integrity and verified service continuity.

Comment ResOps étend-il le modèle « zéro confiance » ?

Zero trust focuses on prevention and access control but does not address recovery after a breach. Commvault Cloud fills this gap by connecting threat detection with clean recovery workflows — helping organizations restore trusted systems after compromise and close the gap between detection and operational continuity. In this way, ResOps extends and enables true zero trust by operationalizing restoration.

Pourquoi la pression réglementaire en matière de résilience s’intensifie-t-elle ?

Regulations such as NIS2 and DORA now require organizations to demonstrate resilience through testing, measurement, and evidence — not just documented policies. Commvault supports this shift through ResOps-aligned capabilities including continuous validation, Cleanroom-based recovery testing, and MTCR measurement — providing the audit-ready evidence of recoverability that modern regulatory frameworks require.

Découvrez les ressources associées

Rapport d’analyste

GigaOm « Minimum Viable Recovery Report »

Define exactly what recovery performance your organization must achieve – and benchmark your readiness against industry standards.
Lire le rapportabout GigaOm « Minimum Viable Recovery Report »
Webinaire à la demande

Résilience grâce à l’IA et ResOps : discours d’ouverture du SHIFT

Watch Commvault’s CEO introduce ResOps and demonstrate how AI-enabled automation transforms enterprise cyber recovery in real time.
Regardez à la demandeabout Résilience grâce à l’IA et ResOps : discours d’ouverture du SHIFT

La sauvegarde et la restauration « Cloud » pour Google Cloud sont désormais disponibles.

Clumio for Google Cloud Storage is now generally available – helping to extend immutable backup and rapid recovery to petabyte-scale object storage in Google Cloud.

Points clés à retenir

Clumio pour Google Cloud Storage est désormais disponible au grand public. Cette solution aide les entreprises à protéger leur stockage d’objets dans le cloud grâce à des sauvegardes immuables, une restauration rapide et la simplicité d’un service SaaS. Clumio pour Google Cloud Storage permet de :

  • De protéger les données de Google Cloud Storage grâce à des sauvegardes immuables et isolées physiquement, conçues pour permettre la Recovery après des attaques par ransomware ou des suppressions destructrices.
  • De récupérer des objets individuels, des préfixes ou des compartiments entiers à partir d’un moment précis.
  • De restaurer des ensembles de données à l’échelle du cloud qui permettent l’utilisation de l’IA, de l’analyse de données et d’applications critiques pour l’entreprise.
  • De réduire la complexité opérationnelle grâce à une plateforme de Backup and Recovery entièrement gérée, basée sur le modèle SaaS.
  • De limiter les perturbations de l’activité grâce à des workflows de Recovery plus rapides.
  • Soutenez les initiatives de conformité et de gouvernance grâce à des copies de sauvegarde isolées et à des politiques de protection centralisées.

Clumio for Google Cloud Storage is a cloud-native backup and recovery solution that helps deliver immutable, air-gapped protection for Google Cloud Storage objects, prefixes, and buckets at petabyte scale. It helps enable rapid, granular recovery following ransomware, accidental deletion, lifecycle policy errors, or data corruption – without requiring organizations to manage backup infrastructure.

Les entreprises s’appuient de plus en plus sur Google Cloud Storage comme base pour leurs plateformes d’analyse, leurs initiatives d’IA, leurs données d’application, leurs archives et leurs services natifs du cloud.

Bien que Google Cloud offre un stockage hautement durable, la durabilité à elle seule ne suffit pas à faire face aux ransomwares, aux suppressions accidentelles, aux erreurs de politique de cycle de vie, aux activités malveillantes ou à la corruption logique. Lorsque le stockage d’objets dans le cloud devient un système d’enregistrement, les capacités de Recovery deviennent tout aussi importantes que la disponibilité du stockage.

Clumio for Google Cloud Storage is now available, helping extend cloud-native cyber resilience and recovery capabilities to one of the industry’s leading cloud object storage platforms. The solution delivers immutable, air-gapped backups and rapid recovery workflows that help organizations recover data following cyberattacks, operational mistakes, outages, or corruption events.

Alors que les entreprises continuent d’investir dans l’IA, l’analyse de données et les stratégies multicloud, la capacité à restaurer des ensembles de données à grande échelle devient une exigence métier cruciale. Clumio pour Google Cloud Storage est conçu pour aider les entreprises à assurer la continuité des activités, à réduire les coûts opérationnels et à restaurer leurs données avec davantage de confiance à l’échelle du cloud.

Pourquoi Google Cloud Storage nécessite une solution dédiée de sauvegarde et de restauration

Google Cloud Storage est devenu le fondement des données pour les entreprises modernes. Les organisations l’utilisent pour stocker des données d’entraînement pour les modèles d’IA, prendre en charge des pipelines d’analyse, archiver des documents d’entreprise et alimenter des applications natives du cloud.

À mesure que les volumes de données augmentent, l’impact potentiel d’une perturbation s’accroît également. Une simple erreur de politique de cycle de vie, une suppression accidentelle, une attaque par ransomware ou un bug d’application peut affecter simultanément des millions d’objets. La durabilité native du stockage aide à se prémunir contre les pannes d’infrastructure, mais elle ne résout pas les problèmes de corruption logique, d’activités malveillantes ou d’erreurs humaines.

Le défi est d’autant plus grand pour les organisations gérant des pétaoctets de données. Les opérations de Recovery nécessitent souvent une coordination manuelle, des scripts personnalisés et des processus chronophages qui retardent la remise en service des services critiques pour l’entreprise.

Des études récentes shows that 84% of cloud leaders intentionally use multiple cloud environments. This helps support AI initiatives, balance risk, and manage large datasets. As multi-cloud adoption expands, organizations need consistent resilience and recovery capabilities across environments.

Comment Clumio offre une résilience native du cloud

Clumio pour Google Cloud Storage a été conçu pour relever ces défis grâce à une approche de protection et de Recovery native du cloud, basée sur le modèle SaaS. La plateforme stocke les copies de sauvegarde dans un environnement immuable et isolé physiquement (air-gapped), distinct des données de production.

Cet isolement contribue à réduire le risque que les données de sauvegarde soient affectées si le stockage principal est compromis par un ransomware ou des événements de suppression destructive. Il aide les entreprises à effectuer des restaurations à plusieurs niveaux de granularité, notamment au niveau d’objets individuels, de préfixes et de compartiments entiers. Cette flexibilité permet aux équipes de restaurer uniquement les données dont elles ont besoin, ce qui contribue à réduire les délais de Recovery et les perturbations opérationnelles.

La solution permet également d’éliminer la nécessité de déployer, de corriger, de faire évoluer ou de maintenir une infrastructure de sauvegarde. La gestion centralisée des politiques et les workflows de protection automatisés contribuent à simplifier les opérations tout en permettant aux stratégies de protection d’évoluer au rythme de la croissance des environnements de données cloud.

Résultats commerciaux pour l’IA, l’analyse de données et les opérations cloud

For many organizations, downtime is no longer limited to application outages. Disrupted data can halt analytics projects, interrupt AI pipelines, delay customer-facing services, and impact business decision-making. Clumio helps organizations reduce these risks by supporting faster recovery workflows and strengthening cyber resilience. Key business outcomes include:

  • Faster recovery – Rapid point-in-time recovery helps organizations recover data from selected recovery points following ransomware attacks, accidental deletion, corruption events, or lifecycle policy mistakes.
  • Reduced operational overhead – A fully managed SaaS platform that helps remove infrastructure management requirements and reduce reliance on manual recovery processes.
  • Improved cyber resilience – Immutable, air-gapped backups are designed to add an additional layer of resilience against modern cyber threats.
  • Greater confidence in AI and analytics – Organizations can help protect the datasets that enable AI models, business intelligence platforms, and analytics environments.

“With Clumio for Google Cloud, we will be able to restore massive volumes of cloud data with a cloud-native SaaS solution that is easy to use and highly scalable.” – Alex Grach, Responsable de l’ingénierie, Trusted Data Platform chez Atlassian

Assurer une Recovery cohérente dans les environnements multicloud

De nombreuses entreprises opèrent désormais sur plusieurs environnements cloud, notamment AWS et Google Cloud. Si l’adoption du cloud apporte de la flexibilité, elle peut également être source de complexité lorsque les processus de Backup and Recovery diffèrent d’un environnement à l’autre.

Clumio aide à relever ce défi en offrant une expérience de protection native du cloud cohérente sur toutes les plateformes cloud. Les entreprises peuvent ainsi appliquer des politiques unifiées, rationaliser les workflows de Recovery et réduire les frictions opérationnelles à mesure que leurs environnements cloud se développent.

Alors que les entreprises continuent d’investir dans l’innovation basée sur l’IA, la résilience du cloud doit évoluer au même rythme que les charges de travail qu’elle protège. Avec la disponibilité générale de Clumio pour Google Cloud Storage, les entreprises disposent d’une solution spécialement conçue pour protéger et restaurer à grande échelle les données de stockage objet dans le cloud, tout en conservant la simplicité opérationnelle dont les entreprises modernes ont besoin.


FAQ

Q: What is Clumio for Google Cloud Storage?

A: Clumio for Google Cloud Storage is a cloud-native backup and recovery solution that helps protect Google Cloud Storage data with immutable, air-gapped backups. It helps enable organizations to recover objects, prefixes, and buckets following ransomware, accidental deletion, corruption, or operational mistakes.

Q: Why isn’t Google Cloud Storage durability enough?

A: Google Cloud Storage durability is designed to help safeguard data against infrastructure failures, but it does not address logical corruption, ransomware, malicious deletion, lifecycle policy mistakes, or human error. Independent backup copies help provide an additional recovery layer.

Q: Can Clumio recover individual objects?

A: Yes. Clumio supports granular recovery workflows that allow organizations to recover individual objects, prefixes, or entire buckets depending on the scope of the incident.

Q: How does Clumio help with ransomware recovery?

A: Clumio stores backup copies in immutable, air-gapped environments separate from production storage. These isolated backup copies help organizations recover data following ransomware attacks or destructive deletion events.

Q: Is Clumio designed for large datasets?

A: Yes. Clumio is designed to support cloud-scale environments and can help organizations protect and recover large object storage datasets that enable analytics, AI, and business-critical applications.

Q: How does Clumio simplify operations?

A: As a fully managed SaaS platform, Clumio helps eliminate the need to deploy and maintain backup infrastructure. Centralized policy management and automated workflows help reduce administrative overhead and operational complexity.

Ressources connexes

PRESS RELEASE 

Clumio Extends Recovery to Google Cloud Storage 

Offre une protection et une résilience immuables, SaaS, aux ensembles de données de l’ordre du pétaoctet stockés dans Google Cloud , qui sont essentiels à l’ère de l’IA agentique

Read the announcement  about Clumio Extends Recovery to Google Cloud Storage 
ANALYST REPORT 

The Total Economic Impact of Clumio 

Explore the business value, efficiency gains, and operational benefits organizations achieve with Clumio.

View the report  about The Total Economic Impact of Clumio 
CUSTOMER STORY 

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Learn how organizations strengthen cloud resilience and simplify data protection with Clumio.

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Building Cyber Resilience in the Cloud 

Discover best practices for helping protect cloud-native workloads against ransomware and operational disruptions.  

Read the Report  about Building Cyber Resilience in the Cloud 

Prêt à commencer ?

Opérations de résilience

Comment les opérations de résilience (ResOps) favorisent la capacité de reprise des entreprises

Enterprise resilience fails not from lack of tools — but because operations, security, and infrastructure teams lack a shared, measurable framework for proving recovery.

It’s 2:47 a.m. and your incident bridge has 40 people on it. The ransomware hit a tier-one workload six hours ago. Containment is done. The forensics team has cleared two recovery points. And now everyone is waiting on the one question nobody prepared for: which services do we restore first, in what order, and how do we know the data is actually clean? Your backup admin pulls up the restore job. Your security lead pulls up the threat report. Your infrastructure lead pulls up the runbook – the one last updated eighteen months ago. Nobody has a shared answer. Nobody has practiced this together. This is the gap that Resilience Operations — ResOps — is designed to close. Not after the incident. Before it.

Resilience Operations (ResOps) is an operational discipline that aligns security, infrastructure, and operations teams around critical services, defined impact tolerances, and continuous validation — so organizations can withstand disruption and demonstrate recoverability with evidence. Commvault Cloud supports ResOps with recovery intelligence, posture visibility, Cleanroom Recovery for isolated restoration, AI-enabled anomaly detection, and automated recovery testing across hybrid, multi-cloud, SaaS, and AI-enabled environments.

Moins de 7 %

Fewer than 7% of organizations can recover from a ransomware attack within 24 hours of detection. For enterprises running tightly coupled, automated environments — where one compromised workload can cascade into a full-scale operational shutdown — this statistic defines the gap that ResOps is built to close.


Qu’est-ce que le ResOps et en quoi diffère-t-il de la sauvegarde et de la reprise après sinistre ?

Backup and disaster recovery are infrastructure disciplines — they answer whether data exists and whether a datacenter can fail over. ResOps is an enterprise operating discipline: it answers whether critical business services can be recovered end-to-end, under real-world stress, within defined impact tolerances — and produces evidence to prove it.

Where DR treats recovery as an IT-owned procedure, ResOps embeds it into the operating rhythm of the entire enterprise. A ResOps Council gives cross-functional teams — engineering, security, infrastructure, operations, service delivery — shared ownership and decision rights over resilience outcomes. Recovery is then governed by two measurable targets: Service Resilience Indicators (SRIs), which define how well each critical service must perform under disruption, and Mean Time to Clean Recovery (MTCR), which tracks how quickly it actually gets there. The result is a shift from annual DR tests and static runbooks to continuously measured, board-reportable recoverability.

  • Critical Services Mapping: ResOps begins by identifying the Minimum Viable Company (MVC) — the smallest set of critical services required to sustain business operations — and defining acceptable impact tolerances for each. This scope definition informs downstream governance and testing priorities.
  • SRI-Based Performance Targets: Each critical service is assigned a Service Resilience Indicator (SRI) — a specific, testable target for how the service should perform under disruption. SRIs replace vague recovery intentions with more accountable, measurable targets.
  • MTCR Tracking: Mean Time to Clean Recovery (MTCR) measures the elapsed time from incident declaration to verified restoration of a critical service. Unlike recovery time objective (RTO), which measures uptime restoration, MTCR incorporates validation steps to support recovery confidence.
  • Cross-functional Decision Rights: ResOps defines who makes recovery decisions, in what order, and under what conditions — using RACI diagrams, backup authority structures, and preapproved runbooks. This helps reduce coordination gaps that can occur when siloed teams respond during an incident.
  • Continuous Validation Cadence: ResOps replaces annual disaster recovery (DR) tests with an ongoing rhythm of simulations, tabletop exercises, and cleanroom restores — each producing evidence that recovery capabilities remain current and effective.

Le cadre ResOps : cinq domaines intégrés pour la résilience de l’entreprise

The ResOps framework is a closed-loop operational model built around five integrated domains — Resilience Governance, Recovery Planning, Recovery Architecture, Resilience Assurance, and Resilience Measurements —that together help organizations maintain critical services within defined impact tolerances during disruption. Once these domains are established, teams can adopt a posture of continuous improvement, transforming resilience from a one-time project into an ongoing, measurable program.

Each domain plays a specific role in the ResOps closed loop. Resilience Governance establishes the charter, defines the Minimum Viable Company (MVC), and creates cross-functional ownership through a ResOps Council. Recovery Planning and Recovery Architecture translate that governance into testable runbooks, recoverability tiers, separation of control and data planes, immutable recovery points, and air-gapped isolation. Resilience Assurance validates these architectures through continuous testing — such as simulations, cleanroom restores, and tabletop exercises — while Resilience Measurements track SRIs, MTCR, and reporting outputs to support visibility and decision-making.

  • Resilience Governance: Establishes a ResOps charter, defines impact tolerances for each critical service, aligns resilience outcomes to organizational funding, and creates a cross-functional ResOps Council for shared accountability and decision-making.
  • Recovery Planning: Defines recoverability tiers by business criticality, including technical runbooks for system restart, RACI diagrams of recovery responsibilities, dependency maps, and testing schedules — so teams have a documented and rehearsed path to recovery.
  • Recovery Architecture: Defines separation between control planes, data planes, and storage tiers; incorporates air-gapping, immutability, and domain isolation; and is designed to reduce blast radius within the recovery environment to support faster, more controlled restoration.
  • Resilience Assurance: Embeds continuous validation into the operating rhythm — including cleanroom restores, simulations, and governed tabletop exercises —designed to validate recovery processes and reduce reinfection risk.
  • Resilience Measurements: Tracks outcome-focused metrics, including impact tolerances, MTCR, SRI attainment, and critical service status, and translates them into quarterly resilience reporting for leadership visibility.

Comment Commvault Cloud prend en charge le ResOps dans les environnements d’entreprise hybrides

Commvault Cloud soutient les ResOps en tant que plateforme fondée sur des données factuelles qui contribue à étendre la cyber-résilience au-delà des outils de protection pour en faire un modèle opérationnel plus large. Bien que les ResOps constituent une discipline plutôt qu’un produit, Commvault Cloud offre des fonctionnalités qui aident les organisations à mettre en œuvre ses cinq domaines dans des environnements hybrides, multicloud, SaaS et basés sur l’IA.

Commvault Cloud helps address the ResOps evidence gap by combining recovery intelligence, posture visibility, and recovery workflows within a unified platform. Rather than stitching together point tools for backup, disaster recovery (DR), and security operations, Commvault Cloud provides a unified data protection console across enterprise workloads — on-premises, cloud, and SaaS —while integrating with SecOps tools so detection and recovery can operate in a coordinated manner. This approach enables cross-functional teams to define SRIs, measure MTCR, and continuously validate recovery processes in isolated environments — supporting the evidence needs of stakeholders, including leadership and regulators.

  • Cleanroom Recovery: Commvault’s Cleanroom Recovery capability provisions an isolated, air-gapped environment on demand — separate from the production network— where critical workloads can be restored, analyzed, and scanned prior to returning services to production. (See FAQ Q3 for step-by-step mechanics.)
  • AI-Enabled Anomaly Detection: Commvault Cloud’s AI-enabled detection helps identify unusual data access patterns and backup anomalies early — helping limit incident impact and reduce the scope of recovery.
  • Automated Recovery Testing: Instead of relying solely on periodic DR exercises, Commvault Cloud supports ongoing validation of recoverability by running non-disruptive recovery tests and comparing results against SRI targets, helping surface gaps before an incident.
  • Unified Data Protection Console: A single control plane spans on-premises, cloud, SaaS, and AI-enabled workloads — helping reduce coverage gaps and tool sprawl that can affect recovery confidence in hybrid environments.
  • Posture Visibility and SRI Reporting: Commvault Cloud provides visibility into resilience posture across protected workloads in a unified view — tracking SRI attainment, MTCR trends, and tolerance gaps—and generating reporting artifacts to support internal and external stakeholders.

Microsoft Sentinelle (SIEM)

Bidirectional integration allows Commvault Cloud to pass recovery telemetry into Microsoft Sentinel for correlation with threat detections — helping inform recovery decisions with current security context.

CrowdStrike Falcon (plateforme de sécurité)

Integration with CrowdStrike provides threat intelligence that helps inform recovery point selection — so restored environments can be assessed against known indicators of compromise before returning to production.

Splunk (SIEM/SOAR)

Commvault Cloud envoie les données relatives aux événements de Recovery à Splunk afin d’offrir une visibilité unifiée sur l’ensemble des opérations de sécurité, aidant ainsi les équipes à établir des corrélations entre les anomalies de sauvegarde et l’activité globale des menaces.

Microsoft Azure / AWS / Google Cloud (Cloud)

Commvault Cloud’s any-to-any workload portability supports recovery across major hyperscalers — helping organizations maintain resilience as dependencies shift across cloud environments.

ServiceNow (ITSM)

Integration with ServiceNow supports automated incident ticket creation and orchestration of recovery workflows — helping connect security detection with IT operations response.

Comment fonctionne ResOps de bout en bout : de la gouvernance à la Récupérery sans perte de données


Découvrir

The unified data protection console helps classify enterprise data and map service dependencies — creating a centralized inventory of what constitutes the Minimum Viable Company (MVC) and which workloads align to specific recoverability tiers.


Protéger

Policy-driven protection is applied across workloads based on recoverability tiers defined in Récupérery Planning. This results in recovery points designed with immutability and air-gap principles, reflecting the Récupérery Architecture approach — such as separation of control planes, data planes, and storage, and considerations for blast-radius reduction.


Detect

AI-enabled anomaly detection monitors backup telemetry and data access patterns. When irregularities are identified, alerts can be routed to integrated SecOps platforms — helping security and recovery teams operate from a shared signal and reduce delays in response.


Récupérer

Following incident declaration, orchestrated workflows run against pretested runbooks — reducing the need for ad hoc response. Cleanroom Récupérery provisions an isolated environment where recovery points can be analyzed and tested before services are returned to production.


Restauration

Services are promoted to production based on SRI priority. MTCR is captured for each service. The recovery sequence — including timestamps, validation steps, and SRI attainment — can be logged and compiled into reporting artifacts to support internal reviews and stakeholder reporting.

ResOps transforms enterprise resilience from documentation-based planning into a continuously validated, evidence-led operating discipline. Organizations that operationalize ResOps gain a cross-functional framework that unites security, IT, and infrastructure around measurable recoverability — tracked through SRIs, MTCR, and reporting for leadership visibility.

Commvault Cloud prend en charge ce modèle grâce à la Cleanroom Recovery, à la détection des anomalies par IA, aux tests de restauration automatisés et à une protection unifiée des données pour l’ensemble des charges de travail de l’entreprise.

The result: when disruption occurs — from ransomware, AI-enabled failure, or cascading infrastructure outages — teams are better prepared, recovery processes are validated, and organizations can provide supporting evidence to stakeholders, including regulators.

Questions fréquemment posées:

Qu’est-ce que ResOps et en quoi diffère-t-il de la Backup and Recovery traditionnelle ?

ResOps addresses a gap backup and DR don’t fully cover: can critical services be recovered end-to-end under real-world conditions within defined impact tolerances — and can we prove it? Backup confirms data copies exist, and DR validates data center failover, but ResOps extends this by accounting for dependencies, clean-state validation, rebuild pathways, and cross-functional execution, with metrics like SRIs and MTCR supported by Commvault Cloud.

En quoi la résilience opérationnelle diffère-t-elle de la planification de la continuité des activités (PCA) ?

Business continuity planning (BCP) defines how an organization intends to respond to disruption, producing documented procedures that are tested periodically. Operational resilience and ResOps focus on continuously testing and improving an organization’s actual ability to withstand disruption within defined tolerances. Commvault Cloud supports this shift by providing the measurement and validation layer — SRI tracking, MTCR reporting, and Cleanroom-based testing — that enables organisations to demonstrate execution rather than simply document intent.

Comment fonctionne la Cleanroom Recovery de Commvault Cloud pour répondre aux attaques par ransomware ?

When an incident occurs, Commvault Cloud provisions a Cleanroom environment — an isolated network segment designed to limit exposure to compromised systems. Recovery points are scanned for potential threats before validation activities — such as application startup and dependency checks— help confirm readiness, with the process generating logs and artifacts that can support internal review and regulatory reporting.

En quoi ResOps se distingue-t-il des offres de Rubrik, Cohesity ou Veeam ?

Rubrik, Cohesity et Veeam fournissent des capacités de protection et de restauration des données, tandis que ResOps introduit un modèle opérationnel qui aligne les équipes de sécurité, d’exploitation et d’infrastructure autour de tolérances d’impact définies et d’une capacité de restauration fondée sur des preuves. Commvault Cloud soutient cette approche grâce à des fonctionnalités telles qu’un plan de contrôle unifié, Cleanroom Recovery, la détection d’anomalies basée sur l’IA et la mesure automatisée d’indicateurs de résilience tels que les SRI et le MTCR.

Quels cadres de conformité exigent des preuves de résilience opérationnelle, et comment ResOps y répond-il ?

Frameworks such as NIS2, the EU Cyber Resilience Act, DORA, and NIST CSF 2.0 emphasize resilience, testing, and accountability, though specific requirements vary by regulation and jurisdiction. ResOps can help organizations align to these expectations by providing an operating model and measurable outputs — such as SRI metrics and recovery validation records— supported by Commvault Cloud capabilities.

Quand une entreprise doit-elle adopter ResOps plutôt que de se contenter d’améliorer son programme de reprise après sinistre (DR) existant ?

Organizations may improve DR when addressing specific gaps like recovery time objectives, recovery point objectives, or workload coverage. ResOps becomes relevant when challenges are broader — siloed teams, unclear dependencies, or limited visibility into recovery readiness. Commvault Cloud supports the transition from DR to ResOps by providing a unified control plane, Cleanroom Recovery for validated testing, and SRI-based measurement that makes recovery readiness visible and reportable to leadership and regulators.

Prouvez votre résilience avec Commvault Cloud ResOps

Start with critical services, define impact tolerances, and validate clean recovery with evidence — using SRIs, MTCR, and Commvault Cloud.

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To address mandates governing where their data is stored and used,many organizations think they can buy a sovereign cloud SKU from a hyperscaler and check the box. But this falls far short of what’s actually required – something they might discover only when a regulator asks them to demonstrate that a dataset never left a defined geography,that no foreign-jurisdiction personnel accessed it,and that they can recover it within 24 hours under incident conditions.

In a recent webinar,I joined Commvault GM Alex Zinin,who leads our digital sovereignty task force,along with Jakub Lewandowski,our associate general counsel for EMEA,and Pranay Ahlawat,our chief technology and AI officer,to examine what a complete approach to digital sovereignty needs to include and where most programs fall short.

See the full webinarand get the fullLa souveraineté numérique décryptéereadiness report and implementation framework.

Points clés à retenir

  • The EU Cloud Sovereignty Framework defines eight sovereignty objectives,only one of which concerns data location.
  • Selecting a sovereign cloud region addresses where data lives,but not who can access it,under what legal authority,or whether you can recover it under real conditions.
  • A complete sovereignty posture spans four interdependent pillars: data locality,technological sovereignty,operational sovereignty,and jurisdictional sovereignty.
  • Sovereignty programs that treat recovery architecture separately from primary data governance carry an unexamined risk that can surface during incidents.
  • Rather than a policy of maximum sovereignty at any cost,organizations should design their strategy around minimum viable sovereignty: the right controls,consistently enforced,calibrated to actual obligations.

Digital Sovereignty Becomes an Enterprise Requirement

Over the past decade,the toughest digital and data sovereignty rules have mainly applied to government,defense,and other national‑security workloads. Outside of highly regulated sectors,many enterprises treated sovereignty principles as design guidance rather than a hard architectural constraint.

That’s now changing. RGPDenforcement has matured beyond guidance into substantial fines for operational failures,and newer regimes likeDORA,NIS2,Germany’s KRITIS rules,and the EU Data Act have tightened expectations around jurisdictional control and operational resilience.

Sovereignty questions are now surfacing in RFPs,M&A due diligence,and board‑level risk reviews as well.

The EU Cloud Sovereignty Framework,published in October 2025,clarifies what this scrutiny actually evaluates. Of its eight sovereignty objectives,only one addresses where data resides. The other seven cover access control,operational dependencies,jurisdictional exposure,and recovery.

For enterprises,this structure is now the lens through which vendor capabilities must be evaluated.

Sneak Peek: Rethinking Sovereignty and Resilience

In this moment from the webinar,Jakub discusses how sovereignty is a risk posture,rather than a single product. Organizations need a holistic strategy that combines architecture,operations,governance,auditability,and recovery planning to address it.

Data Residency Does Not Equal Sovereignty

Data residency only answers questions about where. Sovereignty regulations also require being able to explainwho,how,and under what conditions.

In practical terms,a complete sovereignty posture encompasses four interdependent pillars.

1. Data Locality

This pillar covers not just where data is stored,but where it travels. Control-plane artifacts,metadata,and telemetry can cross geographic boundaries even when primary data stays in-region.

2. Technological Sovereignty

This pillar addresses whether the organization controls the mechanisms that protect data:

  • How access is granted.
  • How data is encrypted.
  • Whether encryption key custody is retained under all conditions.

A key concept here (pun intended) is the distinction between Bring Your Own Key (BYOK),where an organization’s own encryption keys are managed within the provider’s platform,and Hold Your Own Key (HYOK),where the organization retains independent custody of keys entirely outside the provider’s environment.

For regulated organizations with strict sovereignty requirements,BYOK may not provide sufficient protection if a foreign legal authority can compel the provider to surrender key access under some circumstances.

3. Operational Sovereignty

This covers who operates the environment and from where,including whether support personnel or third-party vendors are subject to foreign jurisdiction.

4. Jurisdictional Sovereignty

This final pillar establishes the legal framework under which services are delivered and whether there are explicit protections against extraterritorial access,such as the cross-border situations discussed in the U.S. CLOUD Act.

Each of these pillars is essential to maintain compliance. A strong data locality posture with weak operational controls can allow unexamined risk.

Where Digital Sovereignty Programs Break Down

My experiences in the field have revealed a recurring pattern: When sovereignty becomes a technical conversation,it gets too narrow,too quickly. Workshops zoom in on where data lives,teams get to work on that one question,and then they move on,leaving the other three pillars largely unexamined.

Structural problems also come into play. Digital sovereignty needs to be treated as an ongoing program with legal,technical,and operational stakeholders,not as an IT project that gets checked off as complete.

Organizations can also be led astray by a few myths. One,as we’ve discussed,is the impression that sovereignty equals residency.

Then there’s the myth of absolute sovereignty,the idea that you can achieve complete independence from all external jurisdictions and dependencies. In practice,sovereignty always involves tradeoffs between control,cost,technological velocity,and the ability to innovate.

The goal should be to strike the right balance between independence from foreign jurisdictions and the requirements of your business. It’s also important to understand that sovereignty isn’t a product you can buy,but a risk posture built from architecture,operations,contracts,certifications,and continuous auditability.

Resilience Belongs Inside the Sovereignty Boundary

La souveraineté opérationnelle is thehardest pillar to audit and the one most commonly underestimated. If your environment needed access for routine maintenance tonight,who would perform it,from which country,and under which legal jurisdiction?

Most organizations,when they work through that question for the first time,find at least one support pathway that crosses a jurisdiction boundary they hadn’t mapped.

This gap becomes most consequential during recovery. Most sovereignty programs govern primary data environments but treat backup infrastructure,restoration sequencing,and recovery point management under a separate – and often weaker – set of controls. When an incident occurs,recovery personnel may not meet jurisdictional requirements,and the sovereign architecture designed to protect data can actively complicate restoration if resilience wasn’t designed in from the start.

Commvault’s resilience operations model,ResOps™,addresses this need directly by framing recovery as an ongoing operational discipline that needs to be designed,tested,and validated inside the same sovereignty boundary as the data it protects.

Minimum Viable Sovereignty: The Right Level of Control,Not the Maximum

An absolutist approach to digital sovereignty can tax resources while unnecessarily restricting a company’s ability to meet its business goals.

A payroll system,a customer transaction database,and an internal HR tool don’t carry the same sovereignty obligations. Taking a binary approach to compliance can lead to either under-investing where it matters or over-investing beyond what’s actually required.

Minimum viable sovereignty sets a more practical target: the right controls,consistently enforced and continuously demonstrated,calibrated to what each workload actually requires across all four pillars.

Organizations have a broad range of options for how sovereign controls are delivered across their environment,each providing different controls.

How Commvault Is Addressing the Digital Sovereignty Issue

Commvault’s Geo Shield framework is designed to help organizations navigate that spectrum. Rather than offering a single sovereign SKU,Geo Shield maps to the full spectrum of deployment models:

  • Regional sovereign cloud services delivered as SaaS
  • Hyperscaler sovereign-launch partnerships
  • Partner-operated national sovereign offerings built with local service providers
  • Fully customer-controlled private sovereign environments qualifying under frameworks likeFedRAMP High.

In this way,organizations can achieve a digital sovereignty posture that holds up in real-world conditions – even when an incident occurs.

Watch the Full Webinar and Get the Readiness Report

In the full webinar,available on demand,you’ll discover:

  • Why digital sovereignty is more than a technology solution.
  • The role of architecture and operations in sovereignty strategy.
  • How governance,contracts,and auditability impact resilience.
  • Why sovereignty must hold up during cyber incidents and outages.
  • The importance of a holistic,risk-based approach to sovereignty.

Regarder le webinaire à proposand get the fullLa souveraineté numérique décryptéereadiness report and companion framework.

FAQ

Q: What is the difference between data residency and digital sovereignty?

A: Data residency addresses where data is physically stored. Digital sovereignty is broader: it addresses who can access data,under what legal authority,through which operational pathways,and whether it can be recovered cleanly under real conditions.

An organization can have data residing in the right country while remaining exposed to foreign jurisdiction through its support personnel,vendor access agreements,or backup infrastructure. Residency is the starting condition; sovereignty is the full posture built on top of it.

Q: What is the EU Cloud Sovereignty Framework,and why does it matter?

A: TheEU Cloud Sovereignty Frameworkis a structured assessment tool developed by the European Commission to evaluate cloud and technology providers against sovereignty criteria during procurement processes.

It defines eight sovereignty objectives,with assurance levels ranging from zero to four for each. Only one of the eight objectives addresses data location; the rest cover operational controls,key custody,jurisdictional exposure,and recovery.

The framework represents the most comprehensive public framework for evaluating sovereignty posture and is increasingly being used as a reference by other regions and procurement bodies beyond the EU.

Q: What is the difference between BYOK and HYOK,and why does it matter for sovereignty?

A: Bring Your Own Key (BYOK) allows an organization to supply its own encryption keys,but those keys are typically managed within the provider’s platform. Hold Your Own Key (HYOK) means the organization retains independent custody of keys entirely outside the provider’s environment,including under crisis conditions or legal compulsion.

For regulated organizations with strict sovereignty requirements,BYOK may not provide sufficient protection if a foreign legal authority can compel the provider to surrender key access. The U.S. CLOUD Act,for example,can reach providers operating under U.S. jurisdiction regardless of where data is physically stored.

HYOK addresses that exposure directly,though it may require a higher platform tier in SaaS deployments.

Q: Why do most sovereignty strategies overlook operational sovereignty?

A: La souveraineté opérationnelle,covering who operates the environment and from where,is the hardest pillar to audit because it requires inventorying support contracts,vendor access agreements,and third-party dependencies across the full operational chain.

Most organizations start sovereignty programs focused on data location and encryption,which are more visible. Operational dependencies tend to surface only when explicitly audited or when an incident forces the question.

As a first step to evaluate operational sovereignty,you should identify every access pathway into your sovereign environment and the legal jurisdiction of each party with that access.

Q: How should organizations think about recovery in the context of sovereignty?

A: Recovery architecture needs to meet the same sovereignty requirements as primary data environments,but it often doesn’t. In most organizations,backup infrastructure,restoration sequencing,and recovery point management are frequently governed by a separate set of controls,or none at all.

During an incident,the personnel authorized to execute recovery may not meet jurisdictional requirements,recovery points may not have been validated as clean and uncompromised,and the sovereign architecture designed to protect data can actively complicate recovery if resilience wasn’t built into the original design. A sovereignty review should always include recovery planning.

Q: What does minimum viable sovereignty mean in practice?

A: Minimum viable sovereignty means identifying the right level of control for each workload,calibrated to actual regulatory obligations,risk tolerance,and operational constraints,rather than applying maximum controls uniformly.

Maximum sovereignty comes with real tradeoffs: technological complexity,operational burden,service limitations,and cost. Organizations that define requirements by workload across the four pillars,map those requirements to deployment models,and build evidence of consistent enforcement are in a far stronger position than those pursuing all-or-nothing approaches.

Q: What role do certifications like C5,SecNumCloud,and ISO 27001 play in a sovereignty strategy?

A: Certifications help provide auditable evidence that controls have been independently verified,an important part of any defensible sovereignty posture. C5 in Germany,SecNumCloud in France,and ISO/IEC 27001each establish baseline requirements that providers must demonstrate through independent audits.

The strongest sovereignty postures treat these certifications as a floor,providing necessary evidence that controls exist,but not a substitute for operational testing under realistic conditions.

Darren Thomson is Vice President and Chief Technology Officer,EMEA,at Commvault. Be sure to catch him in the podcast series, STRIVE.

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Points clés à retenir

  • La multiplication des outils de sauvegarde entraîne souvent une dépendance opérationnelle vis-à-vis d’un petit nombre de spécialistes, ce qui accroît le risque pour l’organisation.
  • La gestion de la protection à travers des consoles, des politiques et des systèmes de reporting distincts rend plus difficile le maintien d’une bonne visibilité et la réactivité face aux incidents.
  • La consolidation ne doit pas nécessairement passer par un projet de remplacement radical et perturbateur ; de nombreuses organisations peuvent se moderniser progressivement tout en conservant leurs investissements existants en infrastructure.
  • Un plan de contrôle unifié peut contribuer à simplifier la gestion des politiques, la surveillance, l’audit et les opérations de Recovery dans les environnements hybrides.
  • Les organisations qui simplifient leur stratégie de sauvegarde réalisent souvent d’importantes économies tout en améliorant leur efficacité opérationnelle et leur résilience.

You didn’t build a messy environment. You built a functional one.

Each tool in your backup stack solved a real problem when you added it. One handled virtual machines. Another covered cloud workloads. A third came in when the business moved to SaaS. You made smart calls with the budget and the vendors you had. The environment works.

The stack isn’t the problem. It’s the operational model that comes with it.

Today, it’s not uncommon for a data center team managing legacy backup infrastructure to run seven or more separate systems. Seven sets of policies. Seven consoles. Seven renewal cycles.

And, in the background, they also get seven single points of failure: not in the infrastructure, but in the people. Because somewhere in your organization, there are one or two engineers who know how each of these systems behaves. When something breaks at 2 a.m., you know exactly who’s getting the call.

That’s not resilience. That’s dependency masquerading as expertise.

Le mur des tableaux de bord

Here’s a question worth sitting with: How long does it take your team to answer a simple question like “Did last night’s backup run clean across all workloads?”

If the answer involves opening more than one console, you already know the problem. Each tool has its own view of the world. Each one reports on what it protects, in its own format, on its own schedule.

Stitching that picture together – across on-premises systems, cloud workloads, and remote locations – takes time your team doesn’t have and creates gaps that only show up when something goes wrong.

The scripts help. Your team probably wrote them. But scripts that bridge what tools don’t natively share are technical debt with a support contract. They work until they don’t, and when they don’t, the fix requires the person who wrote them.

And if you want to do this across AI-dependent workloads using generated data … let’s just say you increased the degree-of-difficulty factor by 100% or more.

Ce que la consolidation signifie réellement pour les équipes d’infrastructure

The instinct when you hear “consolidate your backup environment” is to picture a rip-and-replace project with new hardware, new procurement, and a migration that takes six months while landing at the worst possible time.

But that’s not what consolidation has to look like.

The right platform works with the storage already in your rack. It doesn’t require you to throw out contracts you negotiated or hardware you haven’t depreciated. You can start where it makes sense – remote offices, a specific cloud workload, a dataset that’s been a problem – and expand as old contracts run out and budget frees up.

What you get in return is a single control plane. One place to set policy, monitor protection, and answer the auditor’s question. One operating model that works across on-premises, cloud, and hybrid workloads without a script to bridge the gap.

The engineers who were keeping seven dashboards cobbled together through scripts and custom executables start doing something more useful instead.

Les chiffres parlent d’eux-mêmes

Fortune Brands consolidated its backup environment with Commvault® Cloud and a économisé 22,7 millions de dollars – a 73% reduction in total cost. NTT-Netmagic a réduit ses coûts de 300 000 dollars par an and cut storage overhead by 35%.

Those aren’t modernization-project numbers. They’re operational-relief numbers. The kind that come from stopping the compounding cost of complexity – not from buying new things.

Real Resilience Doesn’t Need a War Room

If running a recovery drill requires assembling a team of specialists who each know one piece of the environment, that’s not a drill. That’s a liability.

Real resilience means any qualified engineer on your team can execute recovery. It means one set of policies, one control plane, and a recovery process that doesn’t fall apart when the person who built it is on vacation.

Seven dashboards can protect your data. They can’t protect your team from the operational weight of keeping them running.

That’s the case for consolidation. Not a better product. A better way to run what you’ve built.

Want the full picture? Download « Le coût caché des sept outils – a field guide for data center teams who built something worth protecting.

FAQ

Q: Why is managing multiple backup platforms a problem if they’re all working?

A: The challenge isn’t usually whether the tools function individually – it’s the operational burden of managing them together. Multiple consoles, policies, and reporting systems can make visibility, troubleshooting, and recovery more complex than they need to be.

Q: What is one of the biggest risks created by a fragmented backup environment?

A: In many organizations, critical knowledge becomes concentrated in a few individuals who understand how specific systems interact. If those team members are unavailable during an incident, recovery efforts can become slower and more difficult.

Q: Does consolidation mean replacing all existing infrastructure?

A: Not necessarily. Many consolidation initiatives are phased approaches that work alongside existing storage, hardware, and contracts. Teams can modernize gradually based on business priorities, budget cycles, and contract renewals.

Q: How can consolidation improve resilience?

A: A unified platform can help provide consistent policies, centralized visibility, and streamlined recovery processes. This helps enable more team members to confidently execute recovery procedures without relying on specialized knowledge tied to individual tools.

Q: What about vendor lock-in when consolidating to a single platform?

A: Vendor lock-in is a valid consideration. The goal of consolidation should be to help reduce operational complexity while maintaining flexibility through open architectures, broad workload support, and the ability to leverage existing infrastructure investments where possible.

Q: How do organizations measure the value of consolidation?

A: Beyond software costs, organizations often evaluate factors such as administrative overhead, recovery efficiency, storage utilization, training requirements, audit readiness, and the reduction of operational risk. The greatest value frequently comes from simplifying day-to-day operations and improving recovery confidence.

Michael Thelander is Senior Director, Product Marketing, at Commvault.

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De la détection à la Recovery : quelles sont les exigences d’une architecture moderne de cyber-résilience ?

La cyber-résilience moderne permet aux entreprises de rétablir des opérations fiables après une intrusion grâce à des procédures de Recovery validées, des environnements isolés et une réponse coordonnée sur l’ensemble de l’infrastructure hybride.

Points clés à retenir

Modern cyber resilience focuses on trusted recovery by validating data, isolating restoration, coordinating response, and enabling flexible recovery across hybrid environments.

  • Modern cyber resilience depends on evidence-driven recovery that validates data integrity before restoration, not just backup availability.
  • Traditional disaster recovery models break under ransomware because attackers target backups, extend dwell time, and compromise restore points.
  • A resilience operations (ResOps) model aligns security, IT, and data teams around continuous validation, clean recovery workflows, and measurable readiness.
  • Cyber recovery must integrate with the broader security ecosystem, connecting detection, response, and recovery systems to enable coordinated action and shared visibility during incidents.
  • Cleanroom®, Synthetic Recovery™, air-gapped backups, and AI-assisted detection work together to help enable trusted, isolated restoration.
  • Workload portability and minimum viable recovery help organizations restore critical business functions first and recover across hybrid environments without platform constraints.

Most organizations can detect cyberattacks. Far fewer can recover cleanly, confidently, and at scale across their entire data estate. Commvault addresses this gap through evidence-driven recovery — combining anomaly detection, Cleanroom, Synthetic Recovery, and the ResOps operating model to help organizations validate, isolate, and restore trusted operations even under active adversarial conditions.

Why Do Traditional Recovery Models Fail Against Modern Cyberattacks?

241 days. That’s how long the average breach lifecycle is, according to IBM’s Cost of a Data Breach Report 2025. Lereport also showed that 76% of organizations still took more than 100 days to fully recover from a breach, giving attackers ample time to compromise backup systems and recovery points.

Legacy disaster recovery strategies were designed for outages and hardware failures, not adversarial attacks. They assumed backups could be trusted by default – an assumption that no longer holds.

Cyberattacks are no longer isolated security events. They are enterprise-wide disruptions that expose how well teams can respond and recover amid fragmented tools, signals, and decision-making.

Attackers move patiently and deliberately. By the time encryption or destruction occurs, multiple restore points may already be unsafe.

Today’s ransomware and cyberattacks follow a playbook that can look like this:

  • Extended dwell time: Adversaries may remain in the environment for weeks or months, during which they modify files, insert dormant malware, steal credentials, and corrupt backup repositories.
  • Backup targeting: Attackers now can actively delete snapshots, disable backup jobs, exfiltrate recovery keys, and alter stored data.

By the time encryption occurs, multiple restore points could be compromised.

LeIDC MarketScape: Worldwide Cyber-Recovery 2025 Vendor Assessmenthighlights that modern recovery must enable both data survival and integrity, especially when attackers target protection layers directly.

These conditions expose systemic gaps. Security and recovery teams often operate independently, creating delays in decision-making. Backup systems lack built-in validation, leaving teams uncertain about what is safe to restore. Recovery environments may not be isolated, increasing the risk of reinfection.

Closing these gaps is fundamental to modern cyber resilience. A unified approach that brings together anomaly and threat detection, data protection, AI-assisted insights, and recovery validation is key.


Pourquoi la reprise après sinistre informatique fondée sur des preuves est-elle la voie à suivre ?

La restauration fondée sur des preuves remplace la restauration basée sur des hypothèses par une vérification continue de l’intégrité des données. Au lieu de considérer les sauvegardes comme intrinsèquement sûres, les entreprises évaluent les signaux tout au long du cycle de vie des données afin de déterminer quels points de restauration sont fiables.

“Can we restore?” is not the right question.

Organizations must ask: “Can we restore clean, validated systems under adversarial conditions?”

Les plateformes de résilience modernes telles queCommvault Cloudeffectuent des analyses à plusieurs étapes. Avant la protection, l’analyse comportementale et les renseignements sur les menaces permettent d’identifier les activités suspectes au sein des charges de travail en production.

Par la suite, pendant les opérations de sauvegarde,La détection d’anomaliesanalyse les variations d’entropie, les modifications inhabituelles des fichiers et les indicateurs de menaces connus afin d’identifier toute contamination potentielle. Enfin, une fois les données stockées, une analyse continue permet de détecter les menaces latentes ou différées qui, sans cela, pourraient passer inaperçues.

Les analyses assistées par l’IA sont indispensables à cette échelle. Elles permettent de corréler les signaux au fil du temps, de mettre en évidence les risques hautement probables et de réduire la charge de travail liée aux investigations manuelles. Il est essentiel que ces fonctionnalités soient opérationnelles avant la sauvegarde, pendant la sauvegarde et enfin pendant la restauration.

Cette approche par couches crée une piste de preuves qui permet de prendre des décisions de Recovery avec une précision bien supérieure.


What Is ResOps for Cyber Recovery?

As cyber recovery becomes more complex and security-sensitive, just stocking up on tools is not enough. Organizations need a repeatable operating discipline that aligns security, IT, and data protection teams around a shared outcome.

This is the foundation ofles « opérations de résilience » (ResOps). ResOps treats recovery as a continuous, measurable operational capability rather than a one-time event. It emphasizes shared intelligence, validated recovery paths, and proven readiness. Some of its key capabilities include helping provide:

  • Continuous visibility through anomaly detection across the data lifecycle.
  • AI-assisted threat detection, threat intelligence, and deception-driven early warning.
  • Restoration of clean data.
  • On-demand, air-gapped environments to validate recovery paths.
  • Repeatable testing and improvement.

A critical element of ResOps is integration with the broader security ecosystem. Modern architectures connect with security information and event management (SIEM); security orchestration, automation, and response (SOAR); extended detection and response (XDR); endpoint; and identity platforms to help enable coordinated response.

SOAR-driven orchestration is especially important during active incidents. Automated playbooks help enable consistent execution, reduce manual errors, and accelerate decision-making across teams.

The adoption of the ResOps model highlights a critical shift in cyber resilience, turning a traditionally siloed process into a highly repeatable engineering capability.


Comment la validation « propre » permet-elle une Recovery en toute sécurité ?

La restauration des sauvegardes n’est pas aussi simple qu’il n’y paraît. Effectuer des restaurations à la hâte peut réintroduire des logiciels malveillants dans les environnements de production. Chaque point de restauration doit être considéré comme potentiellement suspect jusqu’à preuve du contraire.

La nécessité de garantir la propreté des données restaurées a conduit à la mise en place de contrôles de validation tels que la «CleanroometSynthetic Recovery.

Cleanroom helps deliver a fast, on-demand, cloud-based recovery environment for testing, cyber forensics,etrecovery staging. This can be practiced by using automated runbooksetpre-configured systems to safely validate workloads before returning them to production.

En complément,Air Gap Protectpermet de fournir des sauvegardes immuables stockées séparément de l’environnement de production, ce qui contribue à empêcher les attaquants de modifier ou de supprimer des données de Recovery critiques.

AI-assisted Synthetic Recovery extends this validation. It leverages malwareetencryption detection to create a curated, composite recovery point that combines the most recent clean version of files across all backups into a single recovery point. This helps reduce the amount of data roll-back or the discarding of good data when performing a recovery.

Ensemble, ces mécanismes contribuent à transformer Recovery, qui passe d’un processus «au mieux» à une solution fondée sur des preuves.

Pourquoi la portabilité des charges de travail est-elle essentielle pour les cadres de cyber-résilience ?

Les environnements d’entreprise s’étendent désormais à l’infrastructure sur site, à plusieurs clouds publics, aux plateformes de conteneurs et aux écosystèmes SaaS. Les architectures de reprise après incident doivent refléter cette réalité. Les modèles de reprise rigides peuvent créer des frictions et des retards, entravant ainsi la fluidité de la reprise et la sécurité des données de sauvegarde.

Any-to-any portability is essential for cyber resilience. 

Une Recovery « de n’importe où vers n’importe où » à l’échelle de l’entreprise signifie que les entreprises disposent de la flexibilité nécessaire pour :

  • Restaurer des charges de travail sur une infrastructure hétérogène.
  • Migrer d’un fournisseur de cloud à un autre lorsque cela est nécessaire.
  • Prendre en charge les scénarios de reconstruction à partir de zéro lorsque les environnements sont entièrement compromis.
  • Prendre en charge diverses migrations d’hyperviseurs et plateformes de stockage.

La portabilité permet de fonder les décisions de Recovery sur les priorités métier plutôt que sur les contraintes liées à la plateforme. Elle contribue également à réduire la dépendance vis-à-vis de l’infrastructure lors d’incidents à grande échelle.


Comment le concept de « Recovery minimale viable » guide-t-il la continuité d’activité ?

When a major cyber incident occurs, attempting to restore everything at once often creates unnecessary delays and complexity. During such scenarios, beginning with an organization’s systèmes minimaux viablesd’une organisation et progresser vers une Recovery complète de l’activité peut constituer une stratégie efficace.

Cette approche donne la priorité aux systèmes et aux données nécessaires à la restauration des opérations métier essentielles. L’ordre de restauration est déterminé en fonction de l’impact sur l’activité plutôt que de la topologie de l’infrastructure. Les éléments clés de cette pratique comprennent une bonne connaissance des dépendances, des objectifs de reprise par niveaux, des guides d’intervention automatisés, ainsi que des tests et des améliorations continus.

The minimal viable recoveryoffers a multitude of advantages :

  • Une Recovery fiable et sûre des éléments les plus critiques de l’activité.
  • Un retour beaucoup plus rapide à la continuité des opérations métier.
  • Rapid recovery of identity systems, critical communication applications, and essential data.

The minimal viable recovery helps accelerate time to business continuity. It helps enable organizations to regain operational capability quickly, even if full restoration takes longer. This process also aligns directly with the ResOps philosophy of measurable readiness.

Conclusion : Regrouper tous les aspects de la cyber-résilience

Present-day cyber resilience is not defined by an organization’s capability to create backups. It is defined by how confidently it can restore trusted operations under real adversarial pressure. It demands an architecture that helps continuously connect detection, validation, isolation, and orchestration.

Dans une architecture mature, ces capacités se renforcent mutuellement en temps réel. Les signaux de détection contribuent à renforcer la confiance accordée àCleanpoint™ confidence. Validation workflows continuously test recoverability. Cleanroom environments help provide a controlled proving ground before production cutover. Orchestrated runbooks help align technical recovery with business priorities. When these elements operate together under a ResOps model, they help provide organizations measurable confidence in their ability to recover.

À mesure que les cybermenaces continuent d’évoluer, l’avantage décisif ne résidera pas dans la rapidité avec laquelle les systèmes peuvent être restaurés, mais dans la fiabilité avec laquelle des opérations saines et fiables peuvent être rétablies à grande échelle.

Questions fréquemment posées:

Pourquoi les stratégies de sauvegarde traditionnelles ne suffisent-elles plus pour assurer la cyber-résilience ?

Les solutions traditionnelles de reprise après sinistre ont été conçues pour faire face aux coupures de courant et aux pannes matérielles, et non aux attaques malveillantes. Les ransomwares modernes ciblent les référentiels de sauvegarde, corrompent les points de restauration et désactivent les systèmes de protection. Commvault résout ce problème en combinant Air Gap Protect, la détection des anomalies et Cleanroom Recovery pour valider et isoler les points de restauration avant de réintégrer les données en production.

Qu’est-ce que la Recovery fondée sur des preuves, et pourquoi est-ce important ?

Evidence-driven recovery uses anomaly detection, threat intelligence, and validation workflows to confirm restore points are clean before deployment. Commvault Cloud implements this through continuous inspection before, during, and after backup — helping surface contamination early and enabling faster, more confident restoration under adversarial conditions.

Qu’est-ce que ResOps, et en quoi améliore-t-il la Recovery après sinistre informatique ?

ResOps est un modèle opérationnel qui considère la reprise comme une discipline continue et mesurable plutôt que comme un événement ponctuel. Commvault prend en charge ResOps en intégrant la détection des anomalies, les chemins de reprise validés et les tests basés sur le « Cleanroom » au sein d’un workflow partagé qui aligne les équipes de sécurité, d’informatique et de protection des données autour d’un état de Readiness mesurable.

Comment la Recovery « Cleanroom » et la Recovery synthétique favorisent-elles une restauration sécurisée ?

Cleanroom Recovery offre un environnement isolé dans lequel les charges de travail peuvent être testées et validées avant de revenir en production. La Recovery synthétique utilise la détection assistée par IA pour aider à assembler les versions saines les plus récentes des fichiers en un point de Recovery vérifié. Ensemble, elles contribuent à empêcher la réintroduction de logiciels malveillants lors de la Recovery.

Pourquoi la portabilité des charges de travail est-elle importante lors d’un cyberincident ?

In hybrid and multi-cloud environments, organizations need the flexibility to restore workloads across different platforms. Commvault’s any-to-any portability capability allows recovery across heterogeneous infrastructure, cloud migration between providers, and rebuild-from-scratch scenarios — helping ensure recovery decisions are driven by business priorities rather than platform constraints.

Qu’est-ce que la «Recovery minimale viable» et en quoi contribue-t-elle à la continuité d’activité ?

Minimum viable recovery prioritizes restoring the most critical systems required to resume core business operations. Commvault supports this through tiered recovery sequencing aligned to business impact — using automated runbooks and continuous testing to help organizations restore identity systems, critical applications, and essential data before completing a full rebuild.

Découvrez les ressources associées

Commvault’s Complete Cloud Platform

Platform

Cleanroom

Découvrez comment l’environnement de Recovery dans le cloud isolé et à la demande de Commvault permet de tester en toute sécurité les charges de travail, d’effectuer des analyses forensiques et de valider la production après une cyberattaque.
Découvrez les fonctionnalités de la «about Cleanroom
IDC MarketScape

Leader dans le MarketScape d’IDC pour la cyber-Recovery mondiale

Commvault est reconnu comme un leader pour l’étendue de ses solutions de cyber-récupération, l’intégration de son écosystème et ses capacités de formation dédiées à la cyber-résilience.
Lire l’évaluation surabout Leader dans le MarketScape d’IDC pour la cyber-Recovery mondiale

Points clés à retenir

  • La pression réglementaire, les attentes des conseils d’administration et les conflits concrets accélèrent la transition d’une approche axée sur la prévention vers une approche axée sur les résultats en matière de résilience.
  • L’architecture de la résilience s’est considérablement complexifiée, d’autant plus que les systèmes d’IUneintroduisent de nouveaux défis en matière de traçabilité des données et de Recovery.
  • La cyber-résilience doit aller au-delà de la reprise après sinistre traditionnelle et considérer les perturbations comme un état opérationnel permanent plutôt que comme un événement exceptionnel.
  • Resilience operations (ResOps™) provides an operating model for making resilience continuous, cross-functional, and demonstrable under actual conditions.
  • Le plus difficile dans la transition vers les ResOps, c’est l’aspect organisationnel. La fragmentation des responsabilités et le manque d’alignement des priorités restent les causes d’échec les plus courantes.

Disruptions have become business as usual. Over the past year alone, we’ve seen:

Lorsque l’environnement opérationnel est intrinsèquement incertain, les RSSI et les DSI doivent repenser leur approche de la continuité des activités.Lors d’un récent webinaire, David Nowak, principal at Deloitte’s Cyber Risk Service; Kent Meyer, managing director at Deloitte; and Shilpi Handa, IDC’s associate research director for cybersecurity in the METUneregion, joined me to discuss what operational resilience actually demands in strategy, in architecture, and in day-to-day operations.

Sneak Peek: It’s No Longer a Matter of If, but When

In this clip from the webinar, you’ll hear why outages are no longer just IT events – they are business events. Boards and regulators are now shifting focus from if an outage occurs to how quickly organizations can recover.

Why Disaster Recovery Isn’t Enough

Per NIST’s definition, la cyber-résilience va au-delà de la sécurité traditionnelle by assuming breaches will happen and focusing on survival and rapid recovery, not just prevention. This assume-breach framing has been part of zero trust for years, but how many organizations are actually putting its implications into practice?

Backup operations focus on whether data has been copied, and disaster recovery on whether systems can be restored, but true resilience demands that you answer a much harder question: Can these services be restored end to end, under stress, and continuously?

We’re seeing this mindset take hold across all sectors, driven by a combination of regulatory pressure and board-level expectations.

  • In Europe, the EU’s Digital Operational Resilience Act (DORA) now mandates specific resilience outcomes and recovery timelines.
  • Les réglementations de la North American Electric Reliability Corporation (NERC) relatives à la protection des infrastructures critiques sont également réexaminées sous l’angle de la résilience.
  • Les exigences de la Securities and Exchange Commission (SEC) en matière de signalement des violations ont mis l’accent non seulement sur la divulgation, mais aussi sur les mesures prises par les organisations pour se remettre d’un incident.

Les conseils d’administration considèrent désormais toute interruption de service comme un événement préjudiciable à l’activité, et l’attente porte désormais non seulement sur la démonstration que la reprise est possible, mais aussi qu’elle peut se faire rapidement, avec un haut niveau de confiance.
Une étude IDC menée par Handa illustre en quoi les opérations de Recovery traditionnelles peuvent s’avérer insuffisantes. Suite au déclenchement de la guerre au Moyen-Orient, elle a constaté que les DSI et les RSSI peinaient à assurer la continuité non seulement des technologies, mais aussi des ressources humaines et des processus, alors que le personnel était contraint de se relocaliser du jour au lendemain et que les bureaux devenaient inaccessibles, ne laissant personne pour effectuer le basculement manuel.

Et ce n’est là qu’un des innombrables scénarios imprévisibles dont les organisations doivent tenir compte.

Construire une architecture de résilience

Uneresilience strategy encompasses both what you protect and whether you can recover it. On the former count, the scope of what needs to be protected has expanded steadily, including identity systems, communication platforms, workloads, productivity tools, CI/CD pipelines, and structured and unstructured data.
The latter point – “whether you can recover it” – creates the new requirements for that strategy. It’s not enough to capture point-in-time snapshots and define traditional recovery objectives. As adversaries target backup infrastructure, organizations must now examine recovered data and confirm that it’s free of compromise before bringing it back online. Isolated recovery environments, air-gap protection for critical services, and cleanroom capabilities have become essential components of resilience architecture.
AI introduces a new layer of difficulty. To recover an AI model, you’ll need not just a backup of the model file itself, but everything that went into creating it. This includes its datasets, hyperparameters, framework versions, feature engineering, and infrastructure configurations, as well as a complete dependency map showing how it all fits together.
Meyer frames cyber resilience solutions as a way to democratize disaster recovery. Whereas traditional disaster recovery was siloed inside IT and accessible only to specialists, newer platforms can give security operations teams, business owners, and operations staff the visibility they need to engage.
That matters for organizations with constrained resources, and it changes what’s possible in terms of moving from tabletop exercises to real, demonstrable restores.

ResOps : le modèle opérationnel pour une résilience durable

ResOps treats resilience as a continuous function, not just something that happens in response to an incident.
In simple terms, it’s about operationalizing resilience when normal operating assumptions no longer hold. Instead of taking for granted that your backups will be available, clean, and restorable when disaster strikes, with ResOps you’re continually discovering where data lives, protecting and capturing it across on-premises and cloud environments, detecting anomalies, recovering to a trusted state, and restoring workloads that have been fully validated. That way, you’re increasingly ready for a disruption, and more confident that you’ll be able to get through it successfully.
Nowak offers a phrase that captures the essence of ResOps: resilient by design. It’s the successor to the secure-by-design principle that shaped the last generation of security architecture. Beyond building systems that resist compromise, we’re now building systems that can continue functioning when compromise occurs.

La dimension humaine du ResOps

Adopting ResOps is at least as much about people and process as it is about technology. As Handa notes, organizations don’t typically fail because they lack the right tools; they fail because ownership is fragmented across too many roles, with no shared operating rhythm and no clear decision rights when things go wrong.
ResOps forces organizations to answer questions many haven’t yet worked through, such as:

  • Qui a l’autorité nécessaire pour rétablir les services si l’équipe principale n’est pas disponible ?
  • Comment les guides d’intervention à distance doivent-ils être structurés ?
  • How will cross-regional failover work when it can’t depend on a single location?

In that sense, ResOps is less about restoring systems and more about enabling the continuity of decision-making, execution, and accountability under disruption.
To this end, many organizations have created a chief resilience officer title, particularly in state and local government. Whether filled by the CISO, the CIO, or someone new, the emergence of this role reflects broad accountability beyond IT. It requires an owner with the cross-functional authority and communication skills to bring business leaders, security teams, and operations staff into a shared operating rhythm.
The role also includes translating the case for resilience into terms that resonate across stakeholders, including monetary impact for the board, operational continuity for practitioners, and regulatory compliance for GRC teams. The goal is a decision-rights framework that’s been tested in simulations before it’s needed in an incident.

Mise en pratique

Commvault aide les organisations à mettre en œuvre le ResOps, depuis la découverte et la protection des données dans les environnements sur site et dans le cloud, jusqu’à la détection des anomalies, la restauration à un état sain et la réintégration des charges de travail validées. Pour les organisations qui s’efforcent de passer des exercices théoriques à des restaurations concrètes, ce sont ces capacités qui contribuent à rendre la résilience opérationnelle en période d’incertitude.
Les ressources issues de la session, notamment l’étude IDC sur l’état de Readiness des DSI et les documents Deloitte sur la Recovery fondée sur des preuves, sont disponibles sur lapage « à la demande.

FAQ

Q: What is cyber resilience and how is it different from disaster recovery?

A: Disaster recovery focuses on restoring systems and data after an incident. Cyber resilience is a broader, more active posture: It assumes disruptions will occur and asks whether services can be restored end to end, under stress, on a regular basis. Many organizations have strong disaster recovery plans that nevertheless leave them exposed when a real incident unfolds under unexpected conditions.

Q: What’s driving organizations to prioritize resilience over prevention?

A: Regulatory frameworks like DORUneand evolving NERC standards now mandate specific resilience outcomes, not just security controls. As a result, boards are focusing on recovery timelines as a business metric.

Q: What makes AI systems harder to back up and recover than traditional data?

A: Backing up an AI model means capturing more than the model file itself. Unemodel is the product of a specific training process involving datasets, hyperparameters, framework versions, and infrastructure configurations. Without that full context, recovery may produce something that can’t be trusted or reproduced.

Q: What is ResOps, and how does it differ from a traditional resilience program?

A: ResOps is an operating model that treats resilience as a continuous, cross-functional discipline rather than a contingency plan. Where traditional programs tend to be siloed in IT and activated after an incident, ResOps brings together security, operations, business owners, and leadership around shared playbooks, clear decision rights, and ongoing validation of recovery readiness.

Q: What are the biggest obstacles to adopting ResOps at scale?

A: The challenges are organizational, including fragmented ownership, misaligned priorities, and the absence of a shared operating rhythm. ResOps requires agreement – before an incident occurs – between security operations teams, business owners, and operations staff on what’s critical, who’s responsible, and how recovery will be validated.

Michael Thelander is Senior Director, Product Marketing at Commvault.

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Points clés à retenir

  • Commvault AirGap est immuable de par sa conception, et des fonctionnalités de verrouillage WORM sont disponibles pour les organisations soumises à des exigences supplémentaires en matière de conformité et de réglementation.
  • Claims that AirGap backups are not truly immutable are inaccurate and do not reflect the platform’s documented capabilities.
  • Le stockage WORM engendre des surcoûts dans l’ensemble du secteur, mais Commvault contribue à minimiser cet impact grâce à une gestion efficace des données et à une architecture native du cloud.
  • Le coût du stockage de sauvegarde ne se limite pas à la consommation de capacité et doit inclure les dépenses liées à l’infrastructure, à la puissance de calcul et aux opérations.
  • Les entreprises devraient s’appuyer sur des tests en conditions réelles pour valider la résilience des sauvegardes, plutôt que de se fier aux arguments marketing des fournisseurs.

Vous avez peut-être récemment entendu un concurrent affirmer queCommvault AirGap (previously called Commvault Air Gap Protect) contains a critical security gap – that backups are not truly immutable, or that enabling WORM (Write Once, Read Many) lock results in two to three times higher storage costs.
Let us address this directly: These claims are inaccurate.

Prise en charge de l’immuabilité et du verrouillage WORM dans AirGap

AirGap is immutable by design, meaning that once data is written, it cannot be altered – a foundational capability that has been part of the platform since its initial release.
For organizations with regulatory or compliance requirements, Commvault also supports WORM lock capabilities in addition to immutability. These protections are available across  supported cloud storage targets, including:

  • Amazon S3 Object Lock
  • Microsoft Azure Blob immutability policies

These features are documented, rigorously tested, and actively used by customers in production environments today.
In our latest platform release, we further expanded WORM lock support within AirGap. This enhancement extends protection across both cloud and on-premises storage environments, delivering broader and more comprehensive coverage than many competing solutions.

Efficacité du stockage : une vision globale

Across the industry, one fact remains consistent: WORM-enabled storage introduces some degree of overhead. Because WORM-locked data cannot be modified after it is written, systems have limited ability to optimize or reduce stored data over time. This is not unique to Commvault – it applies universally across vendors.
What differentiates Commvault is how efficiently this challenge is managed. Our platform helps support native cloud immutability (including S3 Object Lock and Azure immutability policies) and maintain an efficient storage overhead.
However, total cost of ownership (TCO) extends beyond storage overhead alone. Architectures that rely on always-on virtual appliances can introduce ongoing compute costs and operational complexity that compound over time.
By contrast, modern, cloud-native approaches prioritize:

  • Une gestion efficace des données.
  • Des modèles de déploiement flexibles.
  • L’élimination des dépendances persistantes vis-à-vis de l’infrastructure.

These design principles can result in more predictable, scalable, and sustainable long-term costs.
Presenting this as a choice between insecure backups and excessive storage costs is misleading. It is a false dichotomy that should prompt careful evaluation of vendors making such claims.

Une tendance croissante chez les clients

Nous observons une tendance claire : les entreprises se tournent de plus en plus vers Commvault après avoir décidé de ne pas renouveler leur contrat avec leurs anciens fournisseurs. Parmi les raisons courantes, on peut citer :

  • Des limitations inattendues à mesure que les environnements évoluent.
  • Des contraintes de performances liées aux architectures basées sur des Appliances.
  • Des coûts d’infrastructure et d’exploitation en hausse.
  • Des tarifs de renouvellement nettement plus élevés que les conditions d’achat initiales.

These challenges are not isolated – they reflect a broader trend in the market. Customers are seeking solutions that offer flexibility, transparency, and long-term value, without hidden trade-offs.

Faire le tri parmi les informations

In a market often shaped by aggressive claims and unclear comparisons, objective validation can be  critical. That is why we created the Get Real Challenge – a structured, no-cost assessment that enables you to evaluate backup and recovery solutions in a meaningful way.
Through this program, you can:

  • Simuler des scénarios de cyberattaques réels.
  • Tester les capacités de Recovery à l’aide de vos propres données et de votre propre environnement.
  • Evaluate performance without vendor bias or staged demonstrations.

The result is a clear, evidence-based understanding of your organization’s resilience posture. If you want to determine how your backups would perform under real-world conditions, we would be happy to help you get started. Drop us an email at global-sdr@commvault.com.

FAQ

Q: Is Commvault AirGap truly immutable?

A: AirGap is immutable by design, meaning backup data cannot be altered after it is written. This capability has been a core part of the platform since its initial release.

Q: Does AirGap support WORM lock protection?

A: AirGap helps support WORM lock capabilities across supported cloud storage platforms, including Amazon S3 Object Lock and Microsoft Azure Blob immutability policies. Recent enhancements also have helped expand protection across cloud and on-premises environments.

Q: Does enabling WORM lock significantly increase storage costs?

A: WORM-enabled storage creates some level of overhead regardless of the vendor because protected data cannot be modified after it is written. The more important question is how efficiently a platform manages that overhead and its overall impact on long-term costs.

Q: Why is total cost of ownership more important than storage overhead alone?

A: Storage efficiency is only one part of the equation. Organizations also should consider infrastructure requirements, compute costs, operational complexity, and scalability when evaluating the long-term cost of a backup solution.

Q: Why are some organizations moving away from appliance-based backup architectures?

A: As environments grow, organizations often look for solutions that offer greater flexibility, simpler operations, and more predictable costs. Cloud-native approaches can help eliminate dependencies on always-on infrastructure while enabling organizations to scale more efficiently.

Q: How can organizations validate their cyber resilience strategy?

A: The best way is typically through testing. Running realistic recovery exercises and cyberattack simulations enable organizations to understand how their backups will perform under real-world conditions and help identify gaps before an actual incident occurs.

Kash Ansari is Chief Customer Officer Americas at Commvault.

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Over the past few years, I’ve had more conversations about AI than I can count.
Some are focused on potential. Some are focused on risk. Very few are grounded in how AI actually shows up in day-to-day operations.
That’s why I’m writing about an episode of STRIVE I recorded with Ravit Jain, founder and host of “The Ravit Show.”

We didn’t spend time on hype. We didn’t speculate about the future. We focused on what’s happening right now – and what changes when conversational AI is layered on top of unified resilience.
Watch the épisode.

Key Takeaways: What This Shift Really Means

  • Conversational AI helps lower the barrier to cyber intelligence. Leaders can ask complex questions in plain language and get actionable answers.
  • Unified resilience helps reduce fragmentation. Bringing recovery, security, and governance together can change how quickly organizations respond.
  • Trust is the deciding factor in AI adoption. Without transparency and control, AI doesn’t move beyond experimentation.
  • Clean data matters more than speed alone. Recovery isn’t just about getting systems back – it’s about getting back to a trusted state.
  • AI doesn’t replace expertise. It amplifies it by helping to remove friction and accelerate understanding.

From Dashboards to Dialogue

For years, cybersecurity platforms have relied on dashboards, charts, alerts, and reports. And for technical teams, those tools work. But most leaders don’t think in dashboards. They think in questions:

  • Are we exposed?
  • How long will recovery take?
  • What’s the impact if something happens right now?

Ravit and I talked about how conversational AI changes that dynamic. Instead of navigating layers of tooling, teams can interact directly with their environment using natural language. That fundamentally changes who can engage with cyber resilience – and how quickly decisions can be made.

Sneak Peek: Making Cyber Resilience Conversational

Catch a sneak peek of the épisode where we explore how conversational AI shifts cybersecurity from something you interpret to something with which you can directly interact.

Trust Changes Everything

One theme kept coming up throughout our discussion: trust. It’s easy to build an interface that answers questions. It’s much harder to build one that leaders trust in a real incident.
Trust comes down to a few things:

  • Intégrité des données
  • Contrôle d’accès
  • Transparence
  • Gouvernance
  • Consistency over time

If an executive asks a question about recovery posture, the answer has to be right. It has to be explainable. And it has to be grounded in data that hasn’t been compromised. Without that foundation, conversational AI is interesting, but not operational. With it, it becomes something teams rely on.

Why Unification Matters

Another part of our conversation that stood out was how much complexity still exists in most environments:

  • Different tools for backup.
  • Different systems for security.
  • Different processes for governance.
  • All operating independently.

That fragmentation slows everything down – especially during an incident.
Unified resilience helps change that by bringing those pieces together into a single operational layer. When conversational AI sits on top of that layer, you’re not querying isolated systems anymore. You’re interacting with a connected view of your entire environment. That’s where things can start to move faster and clarity improves. And that’s where recovery decisions become more confident.

This Isn’t About Replacing People

There’s always a question that comes up when AI enters the conversation: What happens to the teams?

Ravit addressed this directly. AI isn’t replacing expertise – it’s extending it. Security teams still define policy. Recovery teams still validate outcomes. And leaders still make decisions.
What changes is how quickly they can get to the information they need – and how clearly they can understand it. Because when you’re in the middle of a cyber event, that clarity matters.

A Shift in How Organizations Operate

There’s also a cultural shift happening when conversational AI becomes part of the workflow:

  • Security discussions can become easier to follow.
  • More stakeholders can participate.
  • Decisions can happen faster.
  • Silos can start to break down.

Instead of cybersecurity being confined to a handful of specialists, it becomes something the broader organization can engage with. To be clear – that doesn’t make it simpler. But it does make it more accessible.

Regardez l’épisode dans son intégralité

In the full STRIVE episode, you’ll discover:

  • How conversational AI is actually being used in cybersecurity.
  • What it takes to build trust into AI-enabled systems.
  • Why unified platforms help change recovery outcomes.
  • How organizations can start thinking about this shift.

Regardez-le dès maintenant.
If you’re thinking about how AI fits into your resilience strategy, it’s worth the time.

FAQ

Q: What is conversational AI in cybersecurity?

A: Conversational AI allows users to interact with security and recovery systems using natural language, making it easier to access insights without navigating complex tools.

Q: How does conversational AI help improve resilience?

A: Conversational AI helps reduce friction in understanding data, can speed up decision-making, and allows more stakeholders to engage in recovery and security discussions.

Q: Why is trust so important for AI adoption?

A: If teams don’t trust the data, the controls, or the outputs, they won’t rely on AI during critical moments.

Q: What does unified resilience mean?

A: Unified resilience refers to bringing together data protection, security, governance, and recovery into a single, integrated approach, rather than managing them separately.

Q: Does conversational AI replace security teams?

A: No. Conversational AI can help teams work more efficiently by making information easier to access and understand.

Q: Where should organizations start?

A: Focus on data integrity, governance, and unifying visibility across systems before layering in conversational capabilities.

Darren Thomsonis Vice President and Chief Technology Officer, EMEA, at Commvault

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Points clés à retenir

  • La cyber-résilience repose à la fois sur la technologie et sur l’expertise des professionnels chargés de protéger et de remettre en état les systèmes critiques.
  • La formation continue permet aux équipes partenaires de se tenir informées des menaces en constante évolution, des environnements hybrides et des meilleures pratiques en matière de résilience.
  • La Commvault la la Readiverse Academy propose des formations adaptées à chaque fonction, des ateliers pratiques et des certifications conçues pour développer des compétences concrètes en matière de cyber-résilience.
  • Les clients accordent de plus en plus d’importance aux partenaires capables de leur fournir des conseils fiables, d’accélérer leur préparation à la reprise d’activité et d’optimiser leur résilience.
  • Investir dans la formation continue contribue à renforcer les compétences des partenaires, à gagner la confiance des clients et à soutenir la croissance à long terme de l’entreprise.

Organizations are facing increasing pressure to defend against sophisticated and ever-changing threats. But they also need to manage complex hybrid environments, enable rapid recovery, and maintain continuous operations. Technology plays a critical role – but it’s not enough on its own.

True resilience depends on the readiness, experience and ongoing development of the professionals designing, implementing and supporting these environments. As resilience operations continues to mature, trusted expertise has become a critical differentiator.

The Growing Importance of Continuous Learning

Cyber resilience environments are constantly evolving – from expanding hybrid infrastructures to increasingly advanced threats and rising recovery expectations.

For partner professionals across sales, consulting, engineering and support, staying current is no longer optional – it’s essential. Continuous learning helps teams:

  • Renforcer l’expertise en matière de cyber-résilience.
  • Renforcez votre assurance lors des échanges avec les clients.
  • Restez à la pointe des technologies en constante évolution et des meilleures pratiques.
  • Préparez-vous à assumer de nouvelles fonctions et à saisir de nouvelles opportunités.

Whether supporting ransomware readiness, designing recovery strategies or navigating complex data environments, skilled professionals play a critical role in helping maintain resilience and operational continuity.

Building Expertise Across the Partner Ecosystem

At Commvault, we recognize that different partner roles require different skills and learning paths.

That’s why la la Readiverse Academy was created – offering role-based learning and outcome-focused certifications across sales, engineering, consulting, architecture and support. Beyond just certification, our courses provide practical expertise that drives real customer outcomes.

The Commvault la la Readiverse Academypropose :

  • Parcours d’apprentissage basés sur les rôles.
  • Un apprentissage flexible, à son propre rythme.
  • Travaux pratiques basés sur des scénarios.
  • Des certifications qui attestent de la capacité à exercer dans la vie professionnelle.

Today, more than 10,000 active learners across the partner ecosystem are building their expertise through la la Readiverse Academy, reflecting the growing importance of cyber resilience skills across the industry.

Why Expertise Matters to Customers

Customers aren’t just investing in technology – they’re investing in outcomes.

They expect confidence in their ability to protect, manage, and recover systems when disruption occurs. They need trusted experts who can help reduce risk, accelerate recovery, and maximize the value of their investments.

Partners with continuously developing teams are better positioned to help:

  • Accélérer les déploiements.
  • Adapter les solutions à l’évolution des besoins.
  • Améliorer la préparation opérationnelle.
  • Renforcer la préparation aux situations de reprise.
  • Relever les défis complexes liés à la résilience.

As cyber resilience becomes mission-critical, expertise becomes a key differentiator.

Investing in the Future of Cyber Resilience

The cyber resilience landscape will continue to evolve – and so will customer expectations.

For partner professionals, continuous learning helps drive long-term growth, credibility, and readiness. For partners, it helps strengthen delivery and build trust. For customers, it helps enable better outcomes.

Explore the Commvault la la Readiverse Academy, and start building the expertise that sets your team apart – with role-based learning, hands-on training, and certifications designed for real-world impact.

FAQ

Q: Why is technology alone not enough to achieve cyber resilience?
A: Technology provides the tools needed to protect and recover data, but successful cyber resilience also depends on the people using those tools. Skilled professionals are essential for helping design effective strategies, respond to threats, and enable rapid recovery when disruptions occur.

Q: What role does continuous learning play in cyber resilience?
A: Continuous learning helps professionals stay current with evolving cyber threats, changing technologies, and emerging best practices. It also helps build confidence in customer engagements and prepare teams to address increasingly complex resilience challenges.

Q: What is the Commvault la la Readiverse Academy?
A: la la Readiverse Academy is Commvault’s learning platform that offers role-based training, hands-on labs, flexible learning paths, and certifications. Its programs are designed to help sales, engineering, consulting, architecture, and support professionals develop practical cyber resilience expertise.

Q: How do customers benefit from working with highly trained partners?
A: Customers gain access to trusted experts who can help reduce risk, improve operational readiness, accelerate deployments, and strengthen recovery preparedness. This expertise helps organizations achieve better outcomes from their cyber resilience investments.

Q: Why are certifications important in the cyber resilience field?
A: Certifications help validate real-world knowledge and readiness, giving both partners and customers confidence in a professional’s capabilities. They also support career development and demonstrate a commitment to maintaining current expertise.

Q: How can partners prepare for the future of cyber resilience?
A: Partners can prepare by investing in ongoing education, developing role-specific expertise, and staying aligned with evolving resilience requirements. Building a culture of continuous learning helps teams remain effective as customer expectations and threat landscapes continue to evolve.

Thomas Kestner is Global Director Partner Solutions & Services Enablement, WW Education Services, at Commvault.

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