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Pontos principais

  • Help desk social engineering is now a primary entry point, with vishing (voice phishing) attacks rapidly increasing and leading to credential compromise.
  • Identidades não humanas, como contas de serviço e tokens, constituem um grande ponto cego de segurança, muitas vezes não gerenciadas e amplamente exploradas para movimentação lateral.
  • Active Directory (AD) is a high-value target because of its centralized control and potential misconfigurations.
  • Prevention alone is insufficient; organizations need strong detection and rapid recovery capabilities to limit damage.
  • Immediate operational actions – like auditing accounts and correlating help desk activity with identity changes – can significantly reduce risk.

AD remains a primary target for attackers because it sits at the center of enterprise identity.Recent research shows that67% of incidents now involve identity-related compromise, with attackers going after critical systems like AD within hours of initial access.Once compromised, recovery can take days or weeks – causing significant business disruption.
The question worth asking isn’t whether AD is a target.It’s how attackers get tSaiba mais no SHIFT 2025 – and why the path is so much shorter than security teams might expect.

3 Steps to Full Compromise

Adversary groups like ShinyHunters and Scattered Spider have turned social engineering into a production operation.Voice phishing – vishing – jumped 449% in 2025.Callers are recruited, scripted, andpaid up to $1,000 depending on success and hit rate.
That means, it’s possible to start an attack with one step: Get a password reset or multi-factor authentication (MFA) change.That’s it.
From that single credential, the attacker moves laterally into cloud and virtualized environments.They harvest OAuth tokens, create new administrative service accounts, and embed access in machine-layer credentials.These non-human identities – service accounts, API keys, tokens – now outnumber human users 144 to 1.Sprawl and operational overhead makes rotation and audit difficult.
That lateral movement has a destination: Active Directory.

AD Is the Target

AD is the central nervous system of enterprise identity.Control it and you control everything – user accounts, group policies, and access to every domain-joined system in the network.The reason it’s so attractive to attackers – and so difficult to defend – is structural.Any authenticated user can read the entire directory.Every domain-joined system inherits trust from it.
Group Policy Objects linked at the domain head can be weaponized to disable security controls outright.Legacy protocols left enabled for application compatibility provide straightforward access.Microsoft’s own documentation says that “most identity attacks utilize common misconfigurations in Active Directory.”

When an attacker reaches the AD, they don’t need to force entry.The door is usually open.

Prevention Is Necessary but Not Sufficient

The standard security stack – MFA, endpoint detection, email filtering – is built around human behavior.It wasn’t designed to govern the machine identity layer or to detect the kind of slow, legitimate-looking privilege escalation that characterizes modern AD attacks.An attacker that moves from a compromised human account to a service account to a domain administrator over 72 hours may never trigger a single alert.
This is why the conversation must shift from prevention-first to recovery-first.
Prevention still matters.Least-privilege access, auditing AD changes, hardening default configurations, disabling inactive accounts – these can help reduce the attack surface.But given that half of organizations have already experienced an AD attack, designing only for prevention means designing to fail.
True identity resilience requires the ability to detect unauthorized privilege escalations in near real time, roll back malicious changes before they propagate, and restore the identity environment to a known-trusted state quickly – not in days or weeks, but fast enough to contain the blast radius.That means treating AD and the non-human identity layer as Tier 0 assets, with the same governance and recovery investment you’d apply to any other mission-critical system.

What To Do Right Now for Identity Resilience

The gap between wSaiba mais no SHIFT 2025 most organizations are and wSaiba mais no SHIFT 2025 they need to be on identity resilience is real.But it’s closeable.The immediate priorities are unglamorous and operational:

  1. Audit what’s in your AD.
  2. Find the accounts that shouldn’t still exist.
  3. Rotate the credentials that haven’t been touched in years.
  4. Correlate help desk activity against token- and account-creation events.

A help desk interaction followed by an MFA reset followed by a new service account is a high-confidence attack signal – and it’s detectable if you’re looking for it.
The longer-term work is architectural: Build recovery capability into your identity program so that when an attack succeeds – and it’s usually when, not if – you can contain it, reverse it, and try to restore trust faster than the attacker can consolidate their position.
Attackers are counting on your AD being ungoverned, your machine identities being invisible, and your recovery plan being theoretical.Close one of those gaps this quarter.Close all three and you’ve fundamentally changed the math. 

Learn how Commvault Cloud delivers comprehensive AD protection – from vulnerability assessment to one-click rollback and full forest recovery.
I recently joined Vidya Shankaran on the STRIVE podcast to talk about the governance gap for non-human identities.Check out our episode Saiba mais no SHIFT 2025.And be sure to read Vidya’s blog, O ponto cego da identidade das máquinas é agora uma superfície de ataque primária.

Perguntas frequentes

Q: Why are help desks becoming a major security risk?

A: Help desks are often trusted to reset passwords and modify MFA settings, making them attractive targets for social engineering.Attackers exploit this trust to gain initial access with minimal resistance.
Q: What role do non-human identities play in attacks?

A: Sprawl and operational overhead make rotation and audit of non-human identities, such as service accounts and API keys, difficult.Attackers use them to maintain persistence and move undetected across systems.
Q: Why is AD such a critical target?

A: AD controls authentication and access across the network.Gaining control of it allows attackers to manage users, policies, and systems at scale.
Q: Isn’t MFA and endpoint security enough to stop these attacks?

A: These tools focus on human behavior and may not detect slow, legitimate-looking privilege escalation.Attackers can operate within normal patterns and avoid triggering alerts.
Q: What does a recovery-first security approach mean?

A: It means preparing for the reality that breaches will happen and prioritizing the ability to detect, contain, and reverse them quickly.This approach helps reduce downtime and can help limit overall impact.
Q: What are the most important steps to take immediately?

A: Start by auditing your AD, removing unnecessary accounts, rotating old credentials, and monitoring for suspicious sequences of help desk and identity-related activities.
Dan Conrad is Principal Technologist and Field CTO at Commvault.

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Pontos principais

  • As identidades não humanas (NHIs) já superam em muito o número de usuários humanos e estão crescendo a um ritmo muito mais acelerado, criando uma superfície de ataque significativa e insuficientemente regulamentada.
  • Os invasores recorrem cada vez mais à engenharia social, como o phishing por voz (vishing), para contornar as defesas humanas e obter acesso às credenciais na camada de máquina.
  • Most NHIs operate with excessive permissions and lack proper lifecycle management, contributing to accumulated “identity debt.”
  • As ferramentas tradicionais de segurança não conseguem detectar ameaças na camada de máquina porque os NHIs se comportam de maneira diferente dos usuários humanos.
  • As organizações devem passar de estratégias que priorizam a prevenção para abordagens que priorizam a recuperação, dando prioridade à detecção rápida e à neutralização de ataques baseados em identidade.

For the past decade, enterprise security investment has followed the human. Better authentication. Stronger multi-factor authentication (MFA). Phishing simulation. Identity-centric architecture. These investments were the right response to the threat landscape at the time.

The threat landscape has moved.

Today’s most sophisticated adversaries aren’t trying to defeat your MFA. They’re using it as a door. A convincing phone call to your IT help desk, an MFA reset, and a compromised human account – that’s the entry. What they’re actually after is what’s behind it: the sprawling, under-governed layer of NHIs that connects every system in your environment.

A dimensão do problema é impressionante

Service accounts, API keys, OAuth tokens, AI agents – NHIs now outnumber human users by a ratio of 144 para 1, and they’re growing de 4 a 10 vezes mais rápidodo que as contas humanas. No entanto,menos de 25% of organizations have formal policies governing their creation or decommissioning. Nearly all of them carry excessive permissions – rights that far exceed what their function requires.

This isn’t a new risk that suddenly appeared. It’s accumulated identity debt: years of provisioning without governance, automation without accountability, cloud expansion without visibility. And adversaries have noticed.

O vishing é o ponto de entrada

Groups like ShinyHunters and Scattered Spider – operating under what researchers call the Scattered LAPSUS$ Hunters (SLH) cluster – have industrialized social engineering to exploit exactly this gap. Voice phishing rose 449% em 2025. These aren’t opportunistic calls. They’re coordinated operations: purpose-built scripts, recruited callers, incentivos financeiros de até US$ 1.000 per successful help desk impersonation.

The call isn’t the attack. The call is the credential reset that gets an attacker past the human perimeter. The attack begins when they migrate to the machine layer – stealing OAuth tokens, creating administrative service accounts, embedding access into credentials that are rarely monitored and almost never rotated.

The human account gets remediated. The machine-layer access persists. The attacker has already moved on.

Three Vulnerabilities that Traditional Controls Can’t See

Standard security tools are designed around human behavior. They flag anomalous logins, unusual geolocation, suspicious email traffic. NHIs operate differently, and that difference is the blind spot.

OAuth abuse, for instance, looks like normal API traffic – even after a password reset. Thousands of undocumented service accounts operate in large enterprises with administrative privileges, often long after the projects that created them ended. Long-lived API keys embedded in DevOps pipelines carry broad access with no device context and no login alert.

MFA doesn’t cover them. Endpoint detection doesn’t see them. Email filtering is irrelevant to them.

A mudança de paradigma: da abordagem centrada na prevenção para a abordagem centrada na recuperação

The logical response to a threat that often evades traditional detection is to stop assuming you can prevent every intrusion and start designing for rapid recovery from the ones that succeed.

That means treating NHIs as Tier 0 assets – with the same governance controls applied to domain administrators or cloud control planes managed with human identities. It means replacing static secrets with short-lived tokens and automatic rotation.

It also means correlating cross-domain signals: A help desk interaction followed by an MFA reset followed by a new token creation is a high-confidence indicator of compromise, and catching it early is the difference between containment and a prolonged breach. It means mapping NHIs to human identities for accountability.

Most importantly, it means having the capability to detect unauthorized privilege escalations and roll back malicious identity changes in real time – returning the environment to a known-trusted state before the damage extends.

Prevention still matters. But given the governance gap many organizations are carrying, recovery speed is becoming a primary resilience metric. Organizations should build identity programs designed for the attacks that are already happening, not the ones that were common five years ago.

Visit the Readiversee confira nosso e-bookA crise de identidade não humana, que explora todo o escopo da superfície de ataque das máquinas e a estrutura para a resiliência da identidade.

Perguntas frequentes

Q1: What are non-human identities (NHIs)?

A: NHIs include service accounts, API keys, OAuth tokens, and AI agents that allow systems and applications to interact. Unlike human users, they often operate automatically and at scale, making them harder to monitor and control.

Q2: Why are NHIs considered a security risk?

A: NHIs often have excessive permissions and lack proper governance, making them attractive targets for attackers. Because they are rarely monitored or rotated, compromised credentials can persist undetected for long periods.

Q3: How do attackers exploit NHIs?

A: Attackers typically gain initial access through social engineering, such as voice phishing, then pivot to the machine layer. They steal tokens, create new service accounts, or embed persistent access in credentials that are not closely monitored.

Q4: Why don’t traditional security tools detect these threats?

A: Most security tools are designed to track human behavior, such as login anomalies or phishing attempts. NHIs generate normal-looking system traffic, which allows malicious activity to blend in with legitimate operations.

Q5: What is meant by a “recovery-first” security approach?

A: A recovery-first approach focuses on quickly detecting breaches and restoring systems to a trusted state rather than assuming all attacks can be prevented. This includes identifying unauthorized changes and rolling them back in real time.

Q6: How can organizations improve NHI security?

A: Organizations can treat NHIs as critical assets, implement strict governance policies, replace static credentials with short-lived tokens, and correlate signals across systems. Mapping NHIs to human owners also improves accountability and oversight.

Vidya Shankaran is Field CTO at Commvault.

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Organizations today are building applications faster, automating workflows at scale, and turning data into insights, powered by platforms like Microsoft Power Platform. What started as a low-code productivity layer has quickly become mission-critical, embedded in the processes that support revenue generation, day-to-day operations, and strategic decision-making.

But as the reliance on these business intelligence assets grows, so does the associated risk. The same platform accelerating innovation can also amplify the impact of operational errors, misconfigurations, and malicious actions.

A misconfigured workflow, a deleted report, or a broken application can disrupt business processes, compromise decision-making, and erode trust in the systems the business relies on. And when something goes wrong, recovery is rarely straightforward.

Commvault is helping address these challenges with enterprise-grade data protection and recovery for Microsoft Power Platform, starting with Power BI – allowing organizations to help keep the insights, workflows, and apps they build protected and rapidly recoverable. 

Power BI: The Gap Between Insight and Recovery

At the center of many Power Platform deployments is Microsoft Power BI, providing analytics and business intelligence, transforming data into reporting, forecasting, and operational visibility.

When Power BI assets are lost or compromised teams can quickly lose access to trusted insights, interrupting reporting cycles, and delaying business decision-making.

In practice, however, protection strategies lag behind the importance of these assets. Many organizations rely on manual file exports or limited native capabilities that weren’t designed for comprehensive recovery. When something breaks, teams are often forced to rebuild manually with no ability to restore exactly what’s needed. This makes recovery slow, error-prone, and difficult to scale.

Commvault Cloud Backup & Recovery for Microsoft Power Platform

Now generally available, Commvault Cloud Backup & Recovery for Microsoft Power Platform helps organizations protect and recover their business-critical assets, such as reports, from accidental deletion, corruption, and malicious activity.

  • Automated, policy-based protection: Apply policy-driven backups across Power BI workspace assets, enabling consistent, scalable coverage without manual intervention.
  • Rapid, granular recovery: Restore individual reports, folders to a specific point in time, avoiding manual rebuilds and helping minimize downtime and disruption.
  • Isolated, immutable backups: Help protect data from ransomware and unauthorized changes with backups designed to prevent unauthorized modification or deletion.
  • Simplified compliance: Maintain long-term retention (up to 10 years), centralized audit logs, and reporting to support regulatory and internal requirements.

Unified Platform for Resilience

Commvault Cloud offers a unified platform to protect SaaS, cloud, and on-premises workloads, including Microsoft 365, Dynamics 365, Salesforce, VMs, databases, and endpoints. With Microsoft Power Platform support, customers can streamline protection, recovery, and resilience for more workloads, helping reduce tool sprawl and simplify operations.

How to Get Started

Commvault Cloud Backup & Recovery for Power Platform is delivered as a SaaS solution, designed for fast deployment and minimal operational overhead. Organizations can connect their Power BI environment, apply policy-based protection, and begin backing up critical data in a matter of steps.

Automated discovery protects new reports and folders are included as environments evolve, while centralized management provides a single place to monitor, manage, and recover data at scale.

What’s Next: Expanding Across Power Platform

We intend to expand protection and resilience across Microsoft Power Platform to include Power Apps and Power Automate, extending coverage to the applications and workflows that power your business. Plans, timelines, and features are subject to change and should not be relied upon in making purchasing decisions.

Protect What Powers Your Business

As reliance on Microsoft Power Platform grows, so does the need for resilient, enterprise-grade protection. With Commvault Cloud, you can:

  • Protect critical assets against deletion, corruption, and attack
  • Rapidly recover exactly what you need – without rebuilding everything
  • Maintain trust in data, decisions, and automation
Ready to make your Microsoft Power BI investment resilient?

Learn more and see Commvault Cloud in action atcommvault.com/platform/power-platform.

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Pontos principais

  • A migração de máquinas virtuais para o Red Hat OpenShift Virtualization é um processo gradual que exige proteção consistente em ambientes híbridos.
  • Uma platform unificada de proteção de dados nativa do Kubernetes platform reduzir a complexidade e platform eliminar a necessidade de ferramentas ou processos separados.
  • Reliable resilience – including immutable backups and threat detection – is critical during migration, when risks are highest.
  • As opções flexíveis de recuperação permitem que as organizações se adaptem rapidamente caso as etapas da migração falhem ou os prazos sejam alterados.
  • A consolidação da proteção para máquinas virtuais e contêineres ajuda a reduzir a proliferação de ferramentas e a manter uma governança consistente.

If you’re an IT leader today, chances are your virtualization strategy is under active review.

Rising costs, licensing uncertainty, and long-term vendor lock-in have many organizations reassessing their reliance on traditional hypervisors. At the same time, Kubernetes has matured into the operational foundation for modern applications.

These two realities are converging – and for many enterprises, Red Hat OpenShift Virtualization is emerging as a preferred destination for running virtual machines within a Kubernetes-native operating model.

This transition is accelerating across industries. As organizations modernize infrastructure on their own terms, Red Hat OpenShift Virtualization is increasingly viewed as a way to modernize the platform without the need for application refactoring. With that momentum comes a critical question:

How do you migrate virtual machines while maintaining consistent protection, resilience, and recoverability throughout the process?

To answer it, you need to examine how most enterprise migrations actually unfold – and where protection and resilience become critical.

A migração é uma jornada, não um evento pontual

Seasoned IT leaders know that infrastructure transitions rarely happen all at once.

For enterprises opting to move from hypervisors like VMware to Red Hat OpenShift Virtualization, the transition typically unfolds in phases. During this time, organizations inevitably operate in a mixed state:

  • As máquinas virtuais baseadas em VMware continuam a dar suporte às principais operações comerciais.
  • Máquinas virtuais que passaram a ser executadas recentemente no Red Hat OpenShift Virtualization.
  • Aplicativos em contêineres que compartilham os mesmos clusters do Red Hat OpenShift.

This coexistence period introduces complexity and risk. Data is in motion, environments are changing, and protection gaps can appear if tooling and processes don’t evolve alongside workloads.

É essencial manter uma proteção confiável

A Commvault oferece, há muito tempo, proteção e recuperação de dados tanto para ambientes VMware quanto para cargas de trabalho do Kubernetes em execução no Red Hat OpenShift. Esse mesmo modelo de proteção nativo do Kubernetes e orientado por políticas agora se estende às máquinas virtuais em execução no Red Hat OpenShift Virtualization. O que realmente chama a atenção dos clientes é a consistência:

  • Uma única platform proteção e recuperação.
  • Operações baseadas em políticas aplicadas de maneira uniforme em todas as cargas de trabalho.
  • Projetado para funcionar com suas ferramentas e processos atuais, à medida que os ambientes evoluem.

VMs running on Red Hat OpenShift Virtualization are protected using the same workflows and governance constructs as containerized applications. This unified approach is being embraced by organizations standardizing on Red Hat OpenShift that want a simpler, more consistent way to manage data across environments.

This capability is available today.A Commvault Cloudoferece suporte à proteção de ambientes de virtualização do Red Hat OpenShift alinhados com a versão de suporte de longo prazo 11.40 e a versão de inovação 11.42, o que significa que os clientes já podem colocar esses recursos em produção.

You Shouldn’t Need to Manage Protection Differently

Once VMs move to Red Hat OpenShift Virtualization, they shouldn’t require special handling from a protection standpoint.

A Commvault Cloud discovers and protects Red Hat OpenShift Virtualization VMs alongside containerized applications, helping give teams centralized visibility, consistent policy enforcement, and simplified recovery operations. Virtualized and containerized workloads are managed together – without introducing operational silos.

For organizations managing diverse application portfolios, this treatment of VMs inside Kubernetes helps reduce operational friction while maintaining enterprise-grade controls.

A resiliência cibernética é fundamental quando a migração aumenta o risco.

Migration periods represent a uniquely vulnerable window. Change creates complexity, and complexity increases exposure to data loss and ransomware.

A Commvault Cloud helps maintain resilience throughout this phase with:

  • Backups isolados e imutáveis para cargas de trabalho do Red Hat OpenShift Virtualization.
  • Dados de backup que apoiam a detecção de ameaças e a análise forense, ajudando as equipes a validar a prontidão para a recuperação antes de restaurar as cargas de trabalho.
  • Advanced recovery capabilities designed to help organizations minimize operational disruption.

Independentemente de as cargas de trabalho estarem na fase pré-migração, em transição ou já em pleno funcionamento no Red Hat OpenShift Virtualization, o nível de resiliência permanece inalterado.

A flexibilidade na recuperação traz confiança

Every modernization initiative needs room for adjustment.

Commvault supports both in-place and out-of-place recovery for Red Hat OpenShift Virtualization virtual machines, including full VM context and configuration. If a migration step doesn’t go as planned – or timelines need to shift – teams may recover quickly and move forward without compromising availability or data integrity.

Proteção nativa do Kubernetes além das VMs

For many enterprises, virtualization is only one piece of a broader application modernization strategy.

A Commvault Cloud also provides application-centric, Kubernetes-native protection for containerized workloads, including persistent volumes and application metadata, across all CNCF-certified Kubernetes distributions. This enables mobility and recovery for cloud-native applications while helping maintain operational consistency across environments.

Reduzindo a proliferação de ferramentas à medida que a infraestrutura evolui

Platform transitions often introduce new tools, new processes – and new complexity.

By using A Commvault Cloud as a unified protection platform for:

  • Máquinas virtuais VMware.
  • Máquinas virtuais do Red Hat OpenShift Virtualization.
  • Aplicativos em contêineres.

As organizações podem ajudar a reduzir a proliferação de ferramentas, simplificar a administração e manter uma governança consistente, mesmo à medida que as estratégias de infraestrutura evoluem.

Como tudo se encaixa

During any migration, it helps to understand how the pieces work together. Red Hat’s Migration Toolkit for Virtualization takes care of moving VMs from VMware into Red Hat OpenShift Virtualization.

A Commvault Cloud helps provide the protection and resilience that stays with your workloads throughout the process, so data can remain protected before, during, and after migration. This can help keep recoverability from falling behind as workloads move.

Continuing the Conversation at Red Hat Summit

We’re already working with customers that are actively moving virtual machines onto OpenShift Virtualization – and we’re continuing these discussions at Red Hat Summit, May 11–14 in Atlanta.

At the Commvault booth, we’ll be:

  • Conversando com líderes de TI sobre os desafios reais da resiliência.
  • Compartilhando orientações práticas para realizar a migração com confiança.
  • Demonstrating A Commvault Cloud protection for Red Hat OpenShift Virtualization.

If maintaining resilience and recoverability throughout your virtualization strategy is a priority, we’d welcome the opportunity to connect.

Seguindo em frente com confiança

Red Hat OpenShift Virtualization is becoming a foundational component of modern enterprise infrastructure. But you can’t rush migration at any cost; you must build protection, resilience, and recovery into the process from the beginning.

With A Commvault Cloud, protecting Red Hat OpenShift Virtualization workloads isn’t a future aspiration. It’s something customers already are doing – using a unified platform to modernize confidently while staying resilient and recoverable.

“Red Hat OpenShift Virtualization delivers a reliable, consistent foundation for organizations to support their entire virtualized estate,” says Steve Gordon, Senior Director, Product Management, Hybrid Cloud Platforms, at Red Hat. “By leveraging an optimized integration like A Commvault Cloud with Red Hat OpenShift Virtualization, our customers can move forward with greater confidence, knowing their workloads are protected consistently before, during, and after migration.”

Perguntas frequentes

Q: Why is VM migration considered a multi-phase process?

A: Most enterprises cannot migrate all workloads at once, so they operate in a hybrid state with legacy and new environments running simultaneously. This phased approach introduces complexity, making consistent protection and visibility essential throughout the transition.

Q: What role does resilience play during VM migration?

A: Resilience enables organizations to maintain data protection, recover quickly from failures, and defend against threats like ransomware. During migration, when systems are in flux, strong resilience measures can help prevent data loss and operational disruption.

Q: How does A Commvault Cloud simplify protection across environments?

A: A Commvault Cloud provides a single platform with policy-driven protection for VMware VMs, OpenShift Virtualization VMs, and containerized applications. This unified approach enables consistent operations without introducing new tools or workflows.

Q: What makes Kubernetes-native protection important?

A: Kubernetes-native protection aligns with how modern applications are deployed and managed, covering both containers and virtual machines. It enables simple data management, mobility, and recovery within cloud-native environments.

Q: How does recovery flexibility improve migration confidence?

A: Flexible recovery options, such as in-place and out-of-place restores, can help teams quickly recover workloads if something goes wrong. This adaptability helps reduce downtime and enables organizations to adjust migration plans without risking data integrity.

Q: How can organizations reduce complexity during infrastructure transitions?

A: By adopting a unified data protection platform, organizations can manage all workloads – virtualized and containerized – through a single interface. This approach helps reduce tool sprawl, simplify administration, and maintain consistent governance across evolving environments.

Jason Gizaé gerente sênior de Marketing de Parcerias de Conteúdo Global na Commvault.

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Pontos principais

  • A Readiverse Academy lançou um caminho de certificação estruturado e em níveis, que vai desde conhecimentos básicos até especialização avançada cloud .
  • As certificações estão alinhadas às funções profissionais reais, ajudando os alunos a desenvolver habilidades relevantes para suas responsabilidades em Cloud Commvault Cloud .
  • The program includes four tiers – Practitioner, Specialist, Professional, and Expert – each increasing in depth and operational capability.
  • A aprendizagem se baseia em três pilares fundamentais: platform , resiliência cibernética e conhecimento especializado em cargas de trabalho.
  • Opções flexíveis de aprendizagem, incluindo formatos individualizados e ministrados por instrutor, permitem que os profissionais avancem de acordo com seus horários e objetivos.

The environments you protect with Commvault® Cloud are increasingly complex, and the expectations on your teams that run them are higher than ever. It’s no longer just about knowing the platform. It’s about being able to operate, protect, and recover, often under pressure.

If you’ve already started your learning journey in the Readiverse Academy, welcome back. And if you’re new here, you’re joining at the right time.

Today, we’re introducing a structured, tiered certification approach that gives learners a clear, skill‑based path from foundational platform knowledge to advanced cloud engineering expertise.

Criamos conteúdo para você

Cloud da Commvault Cloud exigem conhecimento especializado em diversas áreas de responsabilidade, muitas vezes dentro da mesma função. Administradores, especialistas em segurança, cloud e responsáveis por cargas de trabalho precisam de conhecimentos com diferentes níveis de profundidade e abrangência. E nem todos precisam aprender as mesmas coisas, na mesma ordem, para serem eficazes.

Os novos níveis de certificação da Readiverse Academy refletem essa realidade. Os alunos avançam por níveis claramente definidos que se complementam, de modo que sua certificação se alinhe ao que você realmente faz e valide essas competências perante as equipes com as quais você trabalha.

  • Commvault Cloud Practitioner – foundational platform and resilience knowledge.
  • Commvault Cloud Specialist – expanded operational and security depth.
  • Commvault Cloud Professional – advanced recovery and workload expertise.
  • Commvault Cloud Expert – full cloud engineering and resilience leadership.

Each tier is earned through a combination of coursework, hands‑on lab activities, and validated assessments. As learners progress, the scope and depth of operational capability demonstrated increases accordingly.

Um caminho claro: de iniciante a especialista

O programa de certificação está estruturado em torno de três pilares de competências essenciais que permeiam todos os níveis:

  • platform básicas platform
  • Conceitos de resiliência cibernética
  • Carga de trabalho e especialização em funcionalidades

Cada nível acrescenta requisitos específicos relacionados a esses pilares. Os alunos podem concluir cursos individuais ou combinar requisitos específicos para atingir as metas de certificação.

Já faz parte da Readiverse Academy? O que isso significa para você.

With a new structure like this, the most important question is what it means for the progress you’ve already made. If you’ve already completed courses or earned certifications in the Readiverse Academy, congratulations! Your investment matters, and we want to be clear about what happens next.

Those certifications represent your history and accomplishments with Commvault. The new program is aligned to our expanded portfolio of cyber resilience features for Commvault Software, Commvault SaaS, and hybrid environments. As your needs grow to require more from Commvault, these courses and certifications will help you configure, manage, and optimize Commvault to meet your organization’s unique needs.

There is no direct progression from the previous certification tracks to the new program, but your existing certifications validate your expertise on the former product releases. As those releases are retired, those certifications will reach end of life as well. Learners who are already invested in the Readiverse Academy are well positioned to progress quickly.

Quem deve fazer os cursos e as certificações da Readiverse Academy

As certificações da Readiverse Academy são destinadas a profissionais que atuam em ambientes Commvault SaaS, Commvault Software e ambientes híbridos.

  • Platform administrators managing day‑to‑day operations.
  • Especialistas em segurança dedicados à proteção de dados e ao fortalecimento de ambientes.
  • Cloud responsáveis pela configuração do plano de controle e pela resiliência avançada.
  • Responsáveis por cargas de trabalho que precisam de proficiência em domínios específicos de dados.

All training is available for self‑paced learning, with select courses also offered in instructor‑led formats, so learners can progress in a way that fits their role and schedule.

Como começar ou dar continuidade à sua jornada de aprendizado

Whether you’re starting fresh or continuing your journey, the next step is simple and designed to meet you where you are.

  • Faça login ou cadastre-se no sitecommvault.com.
  • É novo na Commvault? Comece com o curso “Commvault Cloud ”.
  • Responsável pelo apoio à gestão da carga de trabalho? Confira nosso catálogo de cursos, que abrange praticamente tudo.
  • Procurando estratégias para apoiar a recuperação após um ataque cibernético? O curso sobre Resiliência Cibernética é o seu primeiro passo.

O que vem a seguir

Our goal is to make advancement predictable, transparent, and aligned to real‑world roles to help learners know what’s next and how to prepare for it.

We are committed to giving every Commvault Cloud user the knowledge to operate, protect, and recover their environment with confidence. Because when it matters most, certification isn’t about credentials. It’s about being resilient and ready to recover.

Perguntas frequentes

Q: What is the purpose of the Readiverse Academy certification program?

A: The program provides a structured, skill-based learning path that helps professionals progress from basic platform knowledge to advanced cloud engineering expertise. It aligns training with real-world responsibilities to enable learners to apply their knowledge effectively in complex environments.

Q: What are the different certification tiers available?

A: There are four tiers: Commvault Cloud Practitioner, Specialist, Professional, and Expert. Each level builds on the previous one, increasing in technical depth, operational scope, and leadership capability.

Q: Who should enroll in Readiverse Academy courses?

A: The courses are designed for platform administrators, security specialists, cloud engineers, and workload owners working across SaaS, software, and hybrid environments. Each role can follow a tailored learning path based on their responsibilities.

Q: How are the certifications earned?

A: Certifications are achieved through a combination of coursework, hands-on labs, and validated assessments. As learners progress, they demonstrate increasing levels of expertise across platform, security, and workload domains.

Q: What happens to existing Readiverse Academy certifications?

A: Existing certifications remain valid as proof of past expertise but are tied to earlier product releases. As those releases are retired, the certifications will reach end of life, encouraging learners to transition to the new program.

Q: How can someone get started with the new program?

A: New learners can begin with the Commvault Cloud Administrator course, while existing users can log in to continue their progress. Additional courses are available based on specific goals, such as workload management or cyber resilience strategies.

Suzanne Klausner is Director, Customer Enablement Strategy, at Commvault.

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Pontos principais

  • Traditional restore workflows can create infrastructure drift in Terraform-managed environments by provisioning new resources outside of state.
  • Clumio Backtrack is designed to restore data directly into existing S3 buckets and DynamoDB tables, helping preserve resource identity.
  • In-place recovery helps reduce the need for manual Terraform imports, endpoint rewiring, and state reconciliation during incidents.
  • Aligning recovery workflows with Infrastructure as Code (IaC) principles helps maintain configuration integrity and operational predictability.
  • Recovery design is as critical as backup design for teams operating production environments through Terraform.

IaC brings consistency, repeatability, and version control to cloud environments. Terraform becomes the source of truth for what exists, how it is configured, and how it should behave. Recovery introduces a new challenge.

Traditional restore operations often create new resources – new S3 buckets, new DynamoDB tables, new endpoints. From Terraform’s perspective, those resources were not defined in code. They do not exist in state.

That creates drift. In routine operations, drift is manageable. During an incident, it compounds. This is where recovery design matters as much as backup design.

The IaC Drift Problem

In a typical restore model:

  • A protected resource is restored as a new resource.
  • The original resource remains in a corrupted, overwritten, or failed state.
  • Terraform state does not recognize the new resource.
  • Teams must manually import resources into state.
  • Application configurations may need updates.

For platform teams managing production infrastructure through Terraform, this introduces friction at exactly the wrong moment. The challenge isn’t backup reliability itself, but how restore workflows integrate with infrastructure-as-code practices.

Introducing In-Place Recovery with Clumio Backtrack

Clumio Backtrack is a recovery capability that helps restore data directly into existing AWS resources rather than provisioning replacement infrastructure. When configured through the Clumio Terraform provider, Backtrack helps enable recovery workflows that align with infrastructure defined in code.

Clumio Backtrack supports both Amazon S3 and Amazon DynamoDB. For a deeper technical look at DynamoDB-specific recovery workflows, see our blog post aboutClumio Backtrack for DynamoDB.

Instead of provisioning replacement resources, Backtrack helps restore:

  • S3 objects directly into the original bucket.
  • DynamoDB data directly into the original table.

From Terraform’s perspective, the infrastructure is intended to remain unchanged, with defined resources continuing to match the declared configuration. This helps reduce the need for manual resource imports, temporary restore tables, endpoint rewiring, and state reconciliation under pressure.

A Practical Example

Consider a production environment managed entirely through Terraform. A DynamoDB table tracks inventory; an S3 bucket stores application assets; identity and access management roles and policies are codified; and protection policies are defined via Terraform. If corruption occurs before a major traffic event, traditional restore approaches may create new resources that must be integrated back into Terraform.

With Backtrack, recovery is designed to occur within the existing resource boundary, helping keep the defined infrastructure intact and preserving resource identity. This approach is intended to eliminate the need to update Terraform to accommodate a newly created bucket or table, treating recovery as a data-layer operation rather than an infrastructure replacement exercise.

Why This Matters for Platform Teams

For teams committed to IaC, recovery workflows should preserve resource identity, state alignment, configuration integrity, and operational predictability. In-place restoration helps support those goals by limiting infrastructure changes during recovery events.

Recovery at Cloud Scale

Backtrack is designed to operate at cloud scale – whether restoring a small number of objects or large datasets. Recovery performance varies based on workload size and environment configuration, but the architectural objective remains consistent: restore data without introducing new infrastructure drift.

For Terraform-driven environments, that distinction matters.

Where This Approach Fits

In-place recovery is particularly relevant for:

  • High-throughput DynamoDB workloads
  • S3 buckets with large object counts
  • Production systems managed entirely through Terraform
  • omplex environments where redirecting application dependencies to new resources is difficult

When infrastructure is defined declaratively, recovery workflows should align with that same discipline.

Primeiros passos

To explore Clumio Backtrack and its integration with Terraform:

Defining protection as code is only part of the story. Designing recovery workflows that preserve infrastructure integrity completes the model.

Perguntas frequentes

Q: What problem do traditional restores create in Terraform-managed environments?

A: Traditional restores often create new resources, such as replacement S3 buckets or DynamoDB tables, that are not defined in Terraform state. This can lead to infrastructure drift and force teams to manually import resources and reconcile configurations during high-pressure incidents.

Q: How does Clumio Backtrack differ from standard restore approaches?

A: Instead of provisioning new infrastructure, Clumio Backtrack is designed to restore data directly into the existing AWS resource. This approach helps preserve resource identity and keep Terraform state aligned with the declared configuration.

Q: Which AWS services are supported by Clumio Backtrack?

A: Clumio Backtrack supports Amazon S3 and Amazon DynamoDB. It is designed to restore S3 objects into the original bucket and DynamoDB data into the original table, helping maintain consistency with infrastructure defined in code.

Q: Why is in-place recovery important for platform teams?

A: Platform teams rely on infrastructure as code for consistency and control. In-place recovery helps maintain state alignment, configuration integrity, and operational predictability without introducing additional infrastructure changes during recovery events.

Q: When is in-place recovery particularly valuable?

A: It is especially useful for high-throughput DynamoDB workloads, S3 buckets with large object counts, and production systems fully managed through Terraform. It also can be beneficial in environments where redirecting application dependencies to newly created resources would be complex or risky.

Q: How can teams get started with Clumio Backtrack and Terraform integration?

A: Teams can review theClumio Terraform provider documentation, explore theprovider source code on GitHub, and watch the Backtrack demo video referenced in the blog to understand implementation and workflow details.

Lawrence Chang is Chief Engineering Officer of Clumio and Vir Choksiis Principal Product Marketing Manager at Commvault.

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Pontos principais

  • A maioria dos exercícios simulados serve para avaliar o desempenho, em vez de revelar lacunas reais na resposta a incidentes.
  • Para que os exercícios sejam eficazes, eles devem introduzir atrito, ambiguidade e pressão, a fim de refletir situações reais.
  • Limitar o escopo do exercício a alguns cenários críticos e definir o sucesso como a identificação de problemas, em vez de apenas causar boa impressão, pode levar a insights mais significativos e práticos.
  • A participação de diversas áreas, e não apenas das equipes técnicas, é essencial para avaliar com precisão a resposta da organização.
  • A verdadeira resiliência é comprovada por meio de testes reais de recuperação, e não apenas por cenários baseados em discussões.

There is a moment most security leaders recognize, even if they do not say it out loud. The tabletop just wrapped. The team is filing out. Everyone looks reasonably satisfied. And somewhere in the back of your mind, a quiet question surfaces: Did we actually learn anything?

If you are honest, the answer is often no.
That is not because tabletop exercises are a bad idea. They are one of the most valuable tools a security leader has. The problem is how most organizations run them – and what they are actually measuring when they do.

A Armadilha do Desempenho

The most common mistake in tabletop exercises has nothing to do with the scenario. It has to do with the goal. Most teams, consciously or not, build exercises designed to demonstrate competence rather than discover gaps.
The scenario generally follows a clean arc. Information arrives in a logical sequence. The right people say the right things. Everyone feels prepared. And that feeling – confident, well-rehearsed, almost collegial – is exactly the problem.
Real incidents do not run on clean arcs. They arrive with incomplete information, conflicting signals, unavailable people, and a business demanding answers faster than the facts support. If your tabletop does not create that kind of friction, you have not tested incident response. You have practiced a conversation.
When the exercise is designed to validate rather than stress-test, a second problem follows: People stop being honest. Nobody says, “I don’t know who owns that decision” or “we have never actually tested that recovery path.” They say what sounds right. And the gaps that should surface in a controlled environment stay hidden until they surface in a real one.

O que um bom exercício realmente avalia

Before you build a scenario, you need to answer a simpler question: What do you actually want to learn? Not 20 things. Three or four.
Can your team make a shutdown decision fast enough, and does everyone know who has the authority to make it? When security, IT, legal, and communications are all in the room with conflicting priorities, can they actually reach decisions together? Can you explain the business impact of an incident clearly enough for leadership to act – not just understand? And if you had to restore a critical system in the next four hours, could you really do it?

Once you know what you are testing, build a scenario with real friction. Make a key person unavailable mid-exercise. Introduce a customer escalation. Have a regulator ask a question the team cannot answer from the runbook.
Give people incomplete information and see how they make decisions anyway. The value is not in watching people succeed under pressure. It is in finding the places where the process breaks down while the stakes are still low enough to fix it.

Diga isso em voz alta logo no início: hoje em dia, sucesso significa identificar problemas, e não causar boa impressão. Essa única frase muda o que as pessoas estão dispostas a dizer na sala.

O Problema das Pessoas

Uma simulação que envolva apenas segurança e TI é uma discussão técnica, não um exercício de resposta a incidentes. Se o departamento jurídico não estiver presente, se o departamento de comunicação não estiver presente, se os responsáveis pelas áreas de negócios e a alta liderança estiverem ausentes, você não estará testando como sua organização realmente responde a uma crise. Você estará testando como um grupo de pessoas inteligentes discute uma situação hipotética. Incidentes reais são tratados em toda a empresa. O exercício deve refletir isso.

Conversar sobre o assunto não é suficiente

This is where most organizations stop short. A paper exercise is important – but it is not confidence.
Talking through a recovery scenario tells you something. Actually restoring a system tells you something different. Can you bring identity back to a clean point in time? Can you validate that what you are recovering is trustworthy? Can you restore a Tier 1 application and confirm it comes back cleanly, without carrying the infection with it?

Those are not questions you can answer in a conference room. At some point, the plan has to meet the environment – and you need to know whether they match.

Após o término do exercício

The debrief tells you whether the exercise mattered. If the hot wash is quiet, vague, or full of “good reminders,” the exercise did not push hard enough. A well-run tabletop should leave you with a short list of real findings, clear owners, and deadlines. If you cannot answer what broke, who is fixing it, and by when, you ran an event, not an exercise.
The goal was never to pass the exercise. It was to learn something important while the cost of being wrong was still just time.
Watch our recent episode of the STRIVE podcast, where I join my colleague Chris Mierzwa, Senior Director, Portfolio Marketing, for sobre exercícios simulados.

Perguntas frequentes

Q: Why do most tabletop exercises fail to deliver real value?

A: Many exercises are designed to make teams look prepared rather than uncover weaknesses. This leads to scripted discussions that miss the unpredictability and pressure of real incidents.

Q: What should a tabletop exercise aim to achieve?

A: It should focus on answering a small number of critical questions, such as decision-making speed, ownership clarity, and recovery capability. This focus helps teams uncover meaningful gaps instead of surface-level insights.

Q: How can organizations make exercises more realistic?

A: Introduce uncertainty, missing information, and unexpected disruptions during the scenario. These elements force teams to think critically and act under pressure, closer to real incident conditions.

Q: Who should be involved in a tabletop exercise?

A: Beyond security and IT, teams like legal and communications, business leaders, and executives should participate. This enables the exercise to reflect how real incidents are managed across the organization.

Q: Why is talking through recovery not enough?

A: Discussion can highlight plans, but only real testing proves whether systems actually can be restored cleanly and quickly. Practical validation is necessary to confirm recovery readiness.

Q: What defines a successful tabletop exercise outcome?

A: A strong exercise results in clear findings, assigned owners, and defined timelines for remediation. If these are missing, the exercise likely did not challenge the team enough.

Chris Bevil is Principal, Global Cyber Resilience & AI, at Commvault.

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Pontos principais

  • Commvault’s data access governance, powered by Satori, unifies visibility, access control, and auditability across structured data, unstructured files, SaaS apps, and AI workloads.
  • Uma política de acesso única e consistente pode reger tanto usuários humanos quanto modelos de IA, ajudando a reduzir os silos e a limitar a exposição excessiva de dados confidenciais.
  • A descoberta, a classificação e a avaliação de risco contínuas ajudam a fornecer uma visão priorizada sobre onde os dados confidenciais estão armazenados e onde o risco de exposição é maior.
  • O mascaramento e a supressão dinâmicos, orientados por políticas, ajudam a garantir o acesso com o mínimo de privilégios, permitindo o uso autorizado dos dados e, ao mesmo tempo, contribuindo para a proteção de campos confidenciais.
  • Registros de auditoria centralizados e quase em tempo real oferecem visibilidade abrangente das consultas dos usuários, das solicitações de IA e dos eventos de acesso regulamentado, a fim de apoiar a conformidade e a prestação de contas.

With AI now embedded in every workflow, from copilots and chat assistants to analytics tools, all these endpoints have become ravenous for data to ingest. Commvault’s Os recursos de governança de acesso a dadosda Commvault, desenvolvidos pela Satori, foram projetados para atender a essa demanda da IA, unificando a visibilidade, o controle de acesso e a auditabilidade em todo o seu ambiente de dados.

Uma base unificada para a governança de dados na era da IA

Commvault’s data access governance features bring structured databases, unstructured files in SaaS apps, and AI workloads under one governance model, instead of treating them as separate silos. Organizations now can apply a single access policy to both human users and AI models, so that the same rules determine who or what can see sensitive information, regardless of where it lives.

By integrating Satori into the Commvault Command Center, these capabilities extend Commvault’s traditional protection into live data and AI usage, not just backups and snapshots. This helps security and data protection teams move from reactive incident response to proactive control over how data is discovered, accessed, and used in real time.

Descoberta, classificação e avaliação de risco contínuas

Um dos principais pilares de nossas capacidades de governança de dados éa descoberta e classificação unificadasde dados em nuvens e SaaS. À medida que as organizações se conectam a ambientes como AWS, Azure, Google Cloud, Snowflake, Databricks e outros, a Commvault mapeia automaticamente os repositórios de dados e os classifica continuamente, sejam os dados estruturados ou não estruturados.A cada ativo é atribuída uma pontuação de risco, proporcionando às equipes uma visão priorizada de onde residem as informações confidenciais e onde a exposição é mais provável. Em vez de depender de varreduras periódicas, a platform a movimentação de dados, novos locais de armazenamento e mudanças na classificação, ajudando as equipes a identificar problemas mais cedo e a se concentrar primeiro nas áreas de maior risco.

Acesso com o mínimo de privilégios, com mascaramento dinâmico e supressão de dados

Traditional data protection often stops at knowing where sensitive data is; Commvault’s capabilities emphasize controlling how that data is revealed. Using policy-driven masking and redaction, organizations can enforce least-privilege access so that users, services, and AI models only see the specific information they are authorized to see, with sensitive fields anonymized or hidden as needed.

Because the same masking and redaction policies apply across all connected environments, organizations can consistently safeguard access instead of fragmented, application-by-application rules. This helps reduce the risk of data overexposure, where too many people or systems have access to more data than they legitimately need.

Segurança e manuseio seguro e ágil

A standout capability is policy-driven AI security that operates at the prompt and response level. Before data is ever sent to an AI model, Commvault, powered by Satori, can intercept the interaction, detect sensitive fields (such as regulated personal details), and apply inline masking or redaction according to existing data access policies.

Unlike solutions that simply block entire prompts or rely solely on downstream data loss prevention (making security someone else’s concern), this approach allows employees to keep using AI assistants productively while keeping sensitive data under governance. Because redaction occurs before the model processes the data, it also helps prevent sensitive information from influencing or contaminating AI training datasets, protecting both the users and the broader AI environment.

Registros de auditoria centralizados auxiliam na conformidade

The final piece of our Os recursos de governança de acesso a dados is o registro abrangente e centralizado de auditorias. Every interaction – whether a user query, an AI prompt, or a governed access event – is captured with details such as who accessed what, which policy was applied, and what redactions occurred, in near–real time.

This unified audit visibility spans live data, AI prompts, and access governance events, giving security, IT, and compliance leaders a single authoritative record rather than disparate logs from point tools. For CISOs and CIOs, this means faster compliance reviews and clear proof that governance is not just documented on paper but actively enforced across the environment.

Ajudando as organizações a adotar a IA com segurança

Em conjunto, esses novos recursos oferecem às organizações uma maneira coesa de governar dados em um mundo habilitado para IA: visibilidade unificada entre nuvens, SaaS e IA; uma única política para usuários e modelos; mascaramento e supressão dinâmicos para acesso com privilégios mínimos; e proteção de prompts de IA baseada em políticas, respaldada por trilhas de auditoria completas. O resultado é uma mudança de controles reativos para uma governança proativa do acesso aos dados, preparada para a IA, ajudando as equipes a adotar a inovação em IA enquanto mantêm o controle sobre suas informações mais confidenciais.

Perguntas frequentes

Q: What makes Commvault’s approach to AI data governance different from traditional data protection?

A: Traditional data protection often focuses on backups and incident response after exposure occurs. Commvault extends governance into live environments and AI interactions, helping enable proactive control over how data is discovered, accessed, and used in real time. This shift helps organizations manage risk before it becomes a breach.

Q: How does a descoberta e classificação unificadas improve security?

A: Continuous discovery and classification automatically map and label structured and unstructured data across clouds and SaaS platforms. By assigning risk scores to each asset, teams gain a prioritized view of sensitive data exposure. This helps enable faster identification of high-risk areas and more focused remediation efforts.

Q: What is dynamic masking, and why is it important for AI workloads?

A: Dynamic masking and redaction limit what users, services, and AI models can see based on predefined policies. Sensitive fields can be anonymized or hidden while still allowing legitimate access to relevant data. This approach supports productivity while helping reduce the risk of overexposure.

Q: How does policy-aware AI prompt protection work?

A: Policy-aware AI security intercepts prompts and responses before data reaches the AI model. It helps detect sensitive information and apply inline masking or redaction according to existing policies. This helps employees continue using AI tools while helping keep regulated data under governance and out of training datasets.

Q: How do centralized audit trails support compliance efforts?

A: Comprehensive audit logging captures details about who accessed what data, which policies were applied, and what redactions occurred. This unified visibility spans live data and AI interactions, helping give security and compliance leaders a clear, authoritative record. It helps enable faster reviews and demonstrate that governance controls are actively enforced.

Q: How do these capabilities help organizations adopt AI safely?

A: By combining unified visibility, consistent policy enforcement, dynamic masking, and complete audit trails, Commvault’s data governance capabilities help give organizations a cohesive framework for governing AI-era data. These controls help enable innovation while helping maintain control over sensitive information. The result is a more confident and safe path to AI adoption.

Nico Guerrera is Senior Technical Marketing Manager at Commvault.

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Pontos principais

  • A infraestrutura de identidade é uma das principais superfícies de ataque, capaz de interromper as operações comerciais caso seja comprometida.
  • Commvault’s vulnerability assessment helps highlight misconfigurations and risky settings through clear exposure indicators and remediation guidance.
  • A auditoria em tempo real ajuda as equipes a detectar alterações maliciosas sutis à medida que ocorrem e a rastrear a atividade dos invasores em tempo real.
  • A reversão com um clique pode facilitar a reversão rápida de alterações não autorizadas, ajudando a minimizar o tempo de inatividade e a limitar a propagação do ataque.

A segurança cibernética e a importância da identidade

When most people think about cybersecurity, they picture stolen files or encrypted databases. But there’s a layer underneath all of that which, if compromised, makes everything else irrelevant – your infraestrutura de identidade.​

Identity management systems like Active Directory(AD),ID da EntraeOkta are the systems that decide who gets to log in, what they can accessewhether your business can function at all. When attackers get in there, users can’t authenticate, applications go darkeoperations grind to a halt. It’s not a data problem at that point, it’s a control problem.​

A recuperação automatizada de florestas with clean OS rebuilds helps enable organizations to restore identity systems securely without reintroducing threats. Here’s how.

Know What You’re Vulnerable to Before the Attackers Do

Commvault’s vulnerability assessment gives your AD environment a posture score.  Think of it like a health grade for your directory. Most environments have more exposure than people realizeethis makes that visible.​

Our tool helps surface indicators of exposure (IOEs), which are specific misconfigurations or risky settings that could be exploited. One common example is accounts with passwords set to never expire. Stale, non-rotating credentials are one of the most common ways attackers maintain long-term access to an environment.

Commvault doesn’t just flag the issue, it helps identify which accounts are affected, walks through remediation stepselets you export the list to help simplify scripting the fix.

Catch It While It’s Happening

Knowing your weaknesses is step one. Seeing when someone is actively exploiting them is step two.

Commvault’s identity management auditing helps capture a real-time feed of every change made to identity systems like Active Directory and ID da Entra – details like who made the change, when, from whereewhat the values looked like before and after.

Attackers don’t usually blow the doors off; they make subtle, targeted changes. A compromised account might create a backdoor user, quietly add it to domain admins, then link a malicious Group Policy Object (GPO) designed to deploy ransomwareeevery one of those steps shows up in the audit feed.​

Once you spot a suspicious account, filtering can help you instantly pull up every change that account ever made, helping give you the full picture of what the attacker touched.​

Repare os danos rapidamente

Detection only matters if you can act on it. From the same auditing view, you can roll back a malicious change with a single click, helping restore the environment to its last known good state without jumping between tools or writing a custom script. The aim is to help minimize downtime and limit how far the attack spreads before it is caught.​

Quando o pior acontece: recuperação florestal

Sometimes an attack gets througheyou need to rebuild from scratch. AD forest recovery, rebuilding your entire directory environment after a ransomware hit, is notoriously complex, often involving 50 to 100+ individual steps, depending on how many domains and domain controllers you have.​

Commvault helps automate this with orchestrated runbooks that sequence every step: Rebuilding domain controllers in the right order based on their flexible single master operation (FSMO) roles, restoring SYSVOL, verifying metadataere-establishing trust between domains. A topology view of the entire AD forest helps make it visually clear which domain controllers should come back online first.​

The standout piece here is what Commvault calls Clean OS Recovery. Instead of restoring potentially compromised virtual machines, it rebuilds domain controllers on brand-new VMs. Restoring an infected machine risks bringing the malware right back with it. Recovering onto fresh infrastructure means you’re not just getting your data back; you’re actually starting clean.​

Um único painel para ambientes locais e Cloud

Most organizations today aren’t running purely on-premises or purely in the cloud, they’re hybrid, with AD handling legacy access and ID da Entra handling modern cloud-based identities. Commvault’s unified control plane can help cover both from a single console: assessments, auditing, detectionerecovery across both platforms.​

The value is straightforward: fewer tools, less complexityea cleaner story to tell leadership when they ask how infraestrutura de identidade is being protected end to end.​

Identity resilience deserves its own dedicated conversation, separate from making backups and separate from protecting endpoints. The combination of proactive vulnerability scanning, real-time change auditing, fast rollbackeclean forest recovery helps your organization treat your directory infrastructure as a security priority in its own right.

Perguntas frequentes

Q: Why is infraestrutura de identidade such a critical security focus?

A: Identity systems control authentication and access across an organization. If compromised, attackers can disrupt operations entirely, making other security measures irrelevant.

Q: What are indicators of exposure (IOEs)?

A: IOEs are specific misconfigurations or risky settings in identity environments that attackers can exploit. Discovering them can provide visibility into weaknesses and help guide teams on how to fix them.

Q: How does real-time auditing help stop attacks?

A: Real-time auditing helps track every change in identity systems, including who made it and what changed. This visibility helps security teams detect suspicious behavior early and investigate the full scope of an attack.

Q: Can malicious changes really be undone quickly?

A: Yes, Commvault can help enable direct rollback of unauthorized changes from the same interface. This helps reduce response time and restore systems to a safe state without complex scripting.

Q: What makes AD forest recovery so challenging?

A: Rebuilding an AD forest involves many interdependent steps, including restoring domain controllers and reestablishing trust relationships. The complexity increases with the size of the environment.

Q: What is Commvault’s Clean OS Recoveryewhy does it matter?

A: Clean OS Recovery helps rebuild domain controllers on new, uncompromised systems instead of restoring infected machines. This approach helps eliminate lingering malware and can help enable a secure recovery.

Nico Guerrera is Senior Technical Marketing Manager at Commvault.

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Pontos principais

  • Managing backup and recovery as Infrastructure as Code (IaC) helps reduce configuration drift and align data protection with modern cloud deployment practices.
  • The Clumio Terraform provider helps enable AWS accounts, policies, and protection rules to be defined declaratively and version-controlled.
  • Tag-based protection is designed to automatically protect existing and future resources, helping reduce manual intervention and scale efficiently across environments.
  • Defining backup policies in Terraform helps improve visibility, reproducibility, and governance through standard pull request workflows.
  • This approach can be especially valuable for multi-account AWS environments and organizations already standardized on Terraform.

Cloud infrastructure is increasingly defined as code. EC2 instances, identity and access management (IAM) roles, virtual private clouds, and databases now live in version-controlled repositories and are deployed predictably through IaC.However, backup and recovery policies often are still configured manually in web consoles. That gap creates risk. When infrastructure is declarative but data protection is not, teams risk:

  • Configuration drift.
  • Inconsistent protection across accounts.
  • Manual errors.
  • Limited visibility into what is actually protected.

For organizations already using Terraform, backup and recovery should be managed the same way as the rest of the stack – through code.Clumio’s Terraform provider enables AWS data protection to be defined declaratively alongside infrastructure. You can explore the provider and its documentation here: https://registry.terraform.io/providers/clumio-code/clumio/latest/docs/guides/getting_started.In this post, we’ll walk through how to automate AWS workload protection using Terraform and Clumio da Commvault – and why that approach scales more effectively for modern cloud teams.

The Problem with Console-Based Backup Configuration

In a traditional setup, protecting AWS resources requires:

  • Connecting AWS accounts.
  • Configuring protection separately across multiple AWS services.
  • Creating backup policies.
  • Defining protection rules.
  • Manually assigning resources.
  • Repeating that process for each account or environment.

Even in well-run environments, this creates:

  • Repetitive manual configuration.
  • Inconsistent policy application.
  • Delayed protection for newly created resources.
  • Limited version control.

Terraform already helps solve this problem for infrastructure. The Clumio Terraform provider extends that model to data protection.

From Zero to Protected – Using Four Files

Protecting multiple AWS services can be defined using a small set of Terraform files rather than a sequence of manual UI steps.

The configuration follows a straightforward structure.

  1. Define Providers (AWS + Clumio)

The first step is declaring the providers.Terraform needs to know:

  • You’re using AWS.
  • You’re using the Clumio provider.

This connects Terraform to both platforms.The official provider documentation walks through this setup in detail in thePrimeiros passos guide.

  1. Connect AWS Accounts to Clumio

Next, the Clumio module establishes the connection between AWS and Clumio. This abstracts away the IAM role configuration required for data protection. Instead of manually configuring roles and permissions, the module handles the integration in a repeatable way.The provider source code is publicly availableon GitHub.This means your integration is defined in code, version-controlled and reproducible across environments.

  1. Define Backup Policies as Code

Backup policy definition is where IaC shines. In a Terraform-based configuration:

  • Different recovery point objectives can be set for different resource types.
  • Multiple retention tiers can be defined within the same policy (for example, short-term and long-term retention).
  • The same policy can apply automatically based on defined conditions.

Instead of navigating multiple consoles, a single Terraform configuration defines frequency, retention, and resource scope. That policy is reusable and reviewable like any other infrastructure configuration.

  1. Tag-Based Automatic Protection

One of the most scalable elements of the approach is tag-based protection. A protection rule can be configured to automatically protect any resource tagged with a specific key/value pair. For example:

created_by = demo_script

This means:

  • Existing resources matching the tag are protected.
  • Future resources with that tag are automatically included.
  • No manual intervention is required.

For S3 specifically, protection groups also use tags to manage hundreds of buckets as a single logical unit, allowing centralized policy changes at scale. This helps reduce configuration drift.

Applying the Configuration

Once defined, Terraform initializes the working directory, previews planned changes, and applies the configuration. Terraform is designed to respect dependencies between resources, creating them in the correct order.The configuration helps connect AWS accounts, activate policies, enforce protection rules, and protect tagged resources. And critically – the entire protection strategy exists in version-controlled code.

Why This Matters for Cloud Architects

For teams operating with IaC principles, backup configuration should follow the same discipline as infrastructure provisioning.Defining backup in Terraform provides several practical benefits:

  • Version control: Backup policies are defined in code and can be reviewed, versioned, and approved through standard pull request workflows.
  • Reproducibility: The same configuration can be deployed consistently across development, staging, and production accounts.
  • Reduced drift: Terraform configurations can be re-applied to enforce the declared state, helping bring manual or out-of-band changes back in line with the intended configuration.
  • Clear visibility: Protection logic is visible in code rather than buried in UI configuration.
  • Separation of configuration and interface: Backup posture is defined declaratively, not dependent on console state.

When This Approach Makes Sense

Automating backup with Terraform is particularly useful for:

  • Multi-account AWS environments.
  • Regulated industries requiring auditable configuration.
  • Platform teams managing shared infrastructure.
  • Organizations already standardized on Terraform.

If your infrastructure is defined as code, your data protection strategy should be too.

Primeiros passos

To explore this approach further:

You also can evaluate Clumio through theAWS Marketplace.

Perguntas frequentes

Q: Why should backup policies be managed as code?

A: When infrastructure is defined as code but backup policies are configured manually, gaps and inconsistencies can emerge. Managing backup as code helps align protection with deployment workflows, reduce manual errors, and provide version-controlled visibility into your data protection strategy.

Q: What does the Clumio Terraform provider enable?

A: The Clumio Terraform provider allows AWS data protection resources – such as account connections, backup policies, and protection rules – to be defined declaratively. This helps enable teams to manage backup configurations alongside infrastructure in the same Terraform workflow.

Q: How does tag-based protection improve scalability?

A: Tag-based protection is designed to automatically apply policies to any resource that matches a specified key/value pair. This helps protect existing and future resources without manual assignment, helping make it easier to manage protection at scale across accounts and services.

Q: How does Terraform help reduce configuration drift in backup environments?

A: Terraform maintains a declared state for infrastructure and protection policies. Reapplying configurations helps bring manual or out-of-band changes back in line with the intended state, helping improve consistency across environments.

Q: In what scenarios does automating backup with Terraform make the most sense?

A: This approach is particularly beneficial in multi-account AWS environments, regulated industries requiring auditable configurations, platform teams managing shared services, and organizations already using Terraform as a standard for IaC.

Q: How can teams get started with Terraform-based AWS data protection?

A: Teams can begin by reviewing theClumio Terraform provider documentation, exploring theprovider’s GitHub source code, and watching the Quick Start demo. Evaluating Clumio through theAWS Marketplaceis also a practical next step.

Lawrence Chang is Chief Engineering Officer of Clumio and Vir Choksiis Principal Product Marketing Manager at Commvault.

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Every organization that has ever failed a recovery – and there are more than anyone publicly acknowledges – had one thing in common: They believed they could recover before they tried.

The belief came from somewhere. A completed tabletop exercise. A backup system that showed green. An annual disaster recovery test that passed. All of it documented. All of it, at some point, accurate. None of it current when the incident actually hit.

This is the confidence gap. And it is the gap that continuous recovery validation is designed to close.

What ‘Testing’ Actually Means in Most Organizations

Ask most security or IT leaders how often they test their recovery capability, and the answer is typically annual, sometimes biannual. The test involves restoring a subset of systems from backup into a test environment, confirming they come up, and filing a report. Sometimes a tabletop exercise is conducted alongside it.

What this kind of testing does not do: validate that backup data is free of malware. Confirm that recovery sequencing works for interdependent services. Test identity recovery, which is essential when compromised credentials are what enabled the attack. Confirm that the team that would actually run the recovery knows the current runbooks. Or produce evidence meaningful enough to satisfy a regulator, an auditor, or a board that recovery capability is real and current.

In short, it validates a point in time. Resilience operations (ResOps) requires validation as a continuous state.

The Continuous Validation Model

Continuous recovery validation is not a single test run more frequently. It is a set of integrated practices that produce ongoing, evidence-based proof of recoverability across critical services.

Automated backup integrity scanning. Every backup, continuously evaluated for anomalies, encryption patterns, and malware signatures. Not at restore time – before restore time. The goal is to know whether your recovery points are clean before you need them, not during an incident.

Scheduled Cleanroom Recovery drills. Bi-annual at minimum, restoring from immutable backup points into an isolated Cleanroom Recovery environment – not production, not a production-adjacent test environment, but a genuinely isolated space where forensic analysis can happen without risk of reinfection. These drills produce documented evidence of recoverability against defined impact tolerances.

Identity recovery validation. With credential abuse the most common breach vector, Active Directory and Entra ID recovery must be tested alongside data recovery. Organizations that restore systems without restoring a verified-clean identity layer may find attackers re-enter through the same door.

Service Resilience Indicator (SRI) dashboards. SRIs – continuous signals drawn from backup telemetry, dependency mapping, and test results – that give CISOs, CIOs, and boards a live view of recoverability posture. Not a point-in-time report. An ongoing operational signal.

Each of these practices feeds what Deloitte and Commvault call the resilience backlog: a continuously updated, prioritized list of gaps identified through testing and tracked to resolution. It is the mechanism by which validation drives improvement rather than just producing reports.

What Mean Time to Clean Recovery Changes

Traditional recovery metrics – recovery time objective (RTO) and recovery point objective (RPO) – measure speed and data recency. They say nothing about whether the data being restored can be trusted. Mean Time to Clean Recovery (MTCR) fills that gap: It measures the time required to restore data that is verifiably clean, not just technically available.

MTCR matters because in a ransomware incident, the adversary’s goal is often to corrupt recovery options, not just encrypt production systems. An organization that restores quickly but restores from a compromised backup has not recovered. It has re-infected itself.

Building MTCR into your resilience measurement framework, alongside RTO and RPO, changes what you optimize for and what you report to the board. Speed plus recency plus integrity: that is the complete picture of recovery readiness.

Resilience You Can Prove

The organizations that navigate cyber disruptions with the least damage share one characteristic: They treat recovery capability as something to be continuously demonstrated, not periodically asserted. They know their MTCR. Their SRIs are current. Their cleanroom recovery has been tested in the last 90 days.

That posture is not the result of better technology alone. It is the result of an operating discipline – ResOps – that makes resilience continuous, measurable, and governable. Commvault’s platform provides the technical foundation: clean recovery, automated validation, and the unified visibility across data, identity, and services that ResOps requires at scale.

For the organizational side of that equation – how to define impact tolerances, align executive leadership, and build the governance structure that sustains the discipline – see the Deloitte companion blog, The Resilience Conversation Your Board Isn’t Having Yet. And for the complete ResOps framework, including the six ResOps domains and the measurement model that ties technical recoverability to board-level accountability, read the joint whitepaper:From Minimum Viability to Operational Resilience: ResOps in Practice.Bill O’Connell is Chief Security Officer at Commvault.

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Cloud nos proporcionar flexibilidade, além de:

  • Serviços de ponta.
  • Inovação Cloud.
  • Liberdade da dependência de um único fornecedor.

But when a cyber incident hits, that flexibility often becomes complexity.
In this episode of STRIVE, I sat down with Senior Director of Product Management Akshay Joshi – whose career spans IBM, AWS, Microsoft, Clumio, and now Commvault – to unpack one uncomfortable truth: Most organizations think they’re ready for multi-cloud recovery.
Until they’re not. Watch the episódio completo.

Pontos principais: O queCloud realmente exige

  • Backup at the service level doesn’t equal recovery at the application level. Protecting individual data sources is not the same as restoring a synchronized application ecosystem.
  • Recovery complexity multiplies across clouds. Different recovery points, different accounts, different admin teams – each adds friction when time matters most.
  • Native hyperscaler tools are necessary – but not sufficient. They protect within their own cloud but don’t orchestrate across clouds.
  • Isolation is the first domino in a cyber event. The larger the environment’s aperture, the harder it is to contain impact.
  • Resilience must be designed in – not retrofitted later. Dependency mapping and recovery planning should begin at application design, not after deployment.
  • AI-enabled automation adds power – and new risk. Agentic workflows require tight permission controls and governance discipline.

The Gap Between “On Paper” and Reality

On paper, recovery seems simple: When do you recover to? What do you recover? Where do you recover it?

But, as Akshay explains, each of those questions fractures in a multi-cloud world. Different services may have different recovery points. Some microservices may be impacted while others aren’t. Recovery may require re-architecting if restored cross-regionally or cross-account.
What looks straightforward in documentation becomes deeply complex in execution. And when ransomware hits, teams don’t calmly reference playbooks – they scramble.

O primeiro dominó: o isolamento

Each threat vector expands proportionally with environmental complexity. Multi-cloud doesn’t just diversify infrastructure – it expands operational aperture.

Backup no nível do serviço vs. recuperação no nível da aplicação

Here’s where most organizations get caught.
They back up:

  • Dados do Azure com o Azure Backup
  • Dados da AWS com o AWS Backup
  • Cloud do Google Cloud com uma ferramenta separada

Individually, each service may be protected. Collectively, the application may not be recoverable in a synchronized state.
Native tools don’t communicate across clouds. They aren’t inherently multi-cloud in orchestration. They aren’t tuned to optimize recovery time objective (RTO) or recovery point objective (RPO) at scale for cross-cloud architectures.
And when recovery depends on aligning multiple data sources across hyperscalers, orchestration becomes the difference between hours and days. This is exactly why unified recovery strategies exist – not to replace hyperscalers, but to coordinate them.

Dependency Mapping Isn’t Optional Anymore

We’ve been talking about application dependency mapping for more than a decade. But in a multi-cloud world, it’s no longer a “nice to have.” Applications now span multiple hyperscalers, multiple DevOps teams, multiple admin domains, and multiple vendor backup tools.
Fragmented ownership slows recovery. Vendor fragmentation complicates orchestration. Operational silos create delays at the worst possible time. Resilience must be operationalized from the beginning – not bolted on after deployment.

Antevisão: Por queCloud falha sem o mapeamento de dependências

In this moment from the STRIVE conversation, Akshay explains why operationalizing resilience at the architecture stage is critical for surviving real-world cyber events.

Designing for Recovery – Not Just Protection

One of the most powerful points in this episode: Modern applications should be designed not only around performance and scale – but around recoverability. That means:

  • Pensando tanto em RTO quanto em RPO.
  • Projetar tendo em mentecloud .
  • Consolidar a visibilidade sempre que possível.
  • Reduzir a fragmentação de fornecedores e de tarefas administrativas.
  • Testando a recuperação em diferentes ambientes.

Recovery speed impacts revenue. Recovery clarity impacts reputation. Downtime impacts customer trust. Multi-cloud innovation must be matched by multi-cloud recovery discipline.

A camada de IA e automação

Nenhuma discussão está completa sem abordar a IA. Os fluxos de trabalho baseados em agentes estão cada vez mais integrados às plataformas SaaS corporativas. Mas a automação traz novas considerações:

  • Quais são as permissões dos agentes?
  • Com que frequência os backups são executados?
  • Quais são as implicações financeiras decorrentes das decisões de automação?
  • Os agentes são tratados como identidades com acesso controlado?

AI can accelerate resilience – but without guardrails, it also can amplify risk. The key is controlled delegation.

Por que tivemos essa conversa no STRIVE

STRIVE isn’t about repeating what everyone already knows. It’s about confronting the gaps that surface during real-world cyber events. Multi-cloud adoption isn’t slowing down. But unless recovery strategies evolve alongside architecture, complexity will outpace preparedness.
That’s why this discussion matters. And that’s why we brought Akshay in – someone who’s operated across hyperscalers and understands both their power and their limitations.

Assista ao episódio completo

In the full STRIVE episode, you’ll discover:

  • A verdadeira lacuna entre o backup no nível do serviço e a recuperação no nível da aplicação.
  • Por que o isolamento é o primeiro dominó em casos de ransomware.
  • Como a fragmentação de fornecedores complica a orquestração.
  • O que os CISOs e os líderes de DevOps precisam alinhar.
  • Como a IA muda a equação da resiliência.

Assista agora sobre.
If you operate across AWS, Azure, or Google Cloud – this conversation is essential.

Perguntas frequentes

Q: Why isn’t native hyperscaler backup enough?

A: Native tools protect data within a specific cloud but don’t orchestrate recovery across clouds. Multi-cloud applications require coordinated restoration across services and providers.

Q: What is the biggest gap in multi-cloud recovery?

A: The disconnect between how backups are made (service-by-service) and how recovery must happen (application-wide).

Q: What does “environmental aperture” mean?

A: It refers to the breadth of accounts, clouds, identities, and services in an environment. As aperture expands, risk and complexity increase proportionally.

Q: Why is dependency mapping critical?

A: Applications now span multiple clouds and teams. Without mapping service dependencies, recovery sequencing becomes guesswork.

Q: How does AI impact disaster recovery?

A: AI-enabled workflows can help automate backup and recovery decisions but require strong access controls, cost governance, and oversight.

Q: Where should organizations start improving multi-cloud recovery?

A: Begin by evaluating:

    • Alinhamento da recuperação no nível da aplicação.
    • Oportunidades de consolidação de fornecedores.
    • Sincronização entre equipes.
    • Estratégia de isolamento durante incidentes.
    • Frequênciacloud .

Chris Mierzwa is Senior Director, Portfolio Marketing, at Commvault.

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Pontos principais

  • O Commvault Edge Docking for SaaS transformar a implantação na borda em um processo centralizado e cloud, gerenciado a partir de um único console. O Commvault Edge era anteriormente conhecido como HyperScale Edge.
  • A configuração automatizada e o provisionamento por meio de API ajudam a reduzir o tempo de implantação para apenas alguns minutos em locais distribuídos.
  • Fluxos de trabalho padronizados ajudam a melhorar a consistência, a segurança dos dados e a escalabilidade em ambientes de borda.
  • SaaS contínua SaaS permite atualizações, manutenção e otimização contínuas sem intervenção manual.
  • Recursos de segurança integrados, como backups imutáveis e arquitetura de confiança zero, ajudam a reforçar a proteção contra ameaças em constante evolução.

A implantação da proteção de dados na borda não deve exigir configuração manual em cada local. ComCommvault Edge Docking for SaaS, a Commvault transforma a implantação na borda em uma experiência simplificada e orientada pela nuvem. Ele combina o poder do Commvault Edge com o controle centralizado do plano de gerenciamento de SaaS.

Minimizar a complexidade da implantação na borda

Os ambientes de ponta estão em franca expansão.A IDC projeta que os gastos com TI de ponta atingirão US$ 380 bilhões até 2028. Organizations are pushing compute closer to data – retail stores, branch offices, manufacturing plants, healthcare facilities – each generating and storing critical information that must be protected.

The current edge-setup process is resource-intensive, requiring physical access and time-consuming configuration steps. This extends deployment timelines and increases operational costs when scaling to multiple sites. What should take minutes can stretch into an extended period of time and potential complexity. And while organizations struggle with deployment logistics, critical edge data remains unprotected or inconsistently backed up across distributed locations.

The threat landscape doesn’t wait. Verizon’s documents a surge in breaches exploiting edge devices – and every unprotected site represents a potential entry point for ransomware, data theft, and business disruption.

SaaS para o Commvault Edge

A Commvault está ajudando a transformar a implantação na borda como SaaS Docking para Commvault Edge (formerly HyperScale Edge) – a capability that brings cloud-native speed and simplicity to on-premises protection. From the Command Center, IT teams can configure, deploy, and manage every Commvault Edge system through a single SaaS console. It’s a single pane of glass that helps manage hybrid and cloud-native workloads across every site, device, and workload.

New systems follow a guided, standardized setup workflow that enables protected and consistent configuration from day one. Once powered on, each system automatically connects to Commvault SaaS, validates its configuration, registers with the platform, and begins installation. This helps minimize on-device setup and reduce the operational effort required to deploy at scale.

For larger rollouts, Commvault API-driven automation helps enable rapid onboarding of multiple systems simultaneously, supporting repeatable deployment across sites and regions.

Once systems are deployed, the global Command Center provides unified management across all locations. Each Commvault Edge system remains connected to Commvault SaaS for regular updates, maintenance, and optimization. From this single platform, you can deploy, patch, scale, and maintain every system with confidence. Deploy faster. Manage smarter. Protect data everywhere.

Concebido para a expansão, projetado para a simplicidade

Commvault Edge Docking for SaaS is designed to deliver measurable operational advantages for IT and security leaders:

Accelerated time to value: Deploy new edge systems faster without manual, site-by-site provisioning.

Centralized visibility and governance: Manage configuration, monitor health, deploy updates, and scale infrastructure from a single SaaS management plane.

Reduced operational overhead: Limit the need for on-device configuration and streamline rollout processes, helping free IT resources for higher-value initiatives.

Consistent, rapid deployment: Standardized workflows help reduce configuration drift, deliver consistent data security posture and policy enforcement, and improve reliability across distributed environments.

Data security by design: Every system runs on , Commvault’s hardened Linux-native foundation. It’s a system that helps enable recovery that’s not just fast, but safe, with immutable local backups, multi-layer ransomware protection, and zero-trust architecture.

Por que isso é importante

Traditional edge deployments stretch across weeks or months when deploying at scale. Commvault Edge Docking for SaaS reinforces our commitment to delivering hybrid data protection with the speed and simplicity of SaaS, helping reduce operational costs, eliminate deployment bottlenecks, and achieve faster time to value.

But speed isn’t the only benefit. Consistency also matters. When every site deploys with the same protected baseline, compliance becomes more manageable. Automatic rollout of updates helps security posture stays current. And when recovery workflows are designed to work the same way everywhere, teams can respond confidently under pressure.

This is what unified resilience looks like at scale on the edge: Protection that deploys fast, is simple to manage, and helps provide reliable recovery across hundreds or thousands of distributed sites.

Veja-o em ação

Pronto para modernizar sua estratégia de implantação na periferia? Saiba mais em nossa páginaCommvault Edgee agende uma demonstração para ver o Commvault Edge Docking for SaaS ação, ou entre em contato com seu representante da Commvault para saber como SaaS pode transformar sua estratégia de resiliência na borda.

Perguntas frequentes

Q: What is Commvault Edge Docking for SaaS?

A: It is a Commvault capability that helps enable organizations to deploy and manage Commvault Edge systems through a centralized SaaS management plane. This approach helps simplify configuration, deployment, and ongoing operations across distributed environments.

Q: How does this solution reduce deployment complexity?

A: It helps eliminate the need for manual, site-by-site configuration by using automated workflows and centralized control. Systems can self-configure and connect to the SaaS platform, helping reduce setup time and effort.

Q: Can it scale across multiple locations?

A: Yes, API-driven automation helps enable rapid onboarding of multiple systems simultaneously. This makes it ideal for organizations managing hundreds or thousands of edge sites.

Q: What security features are included?

A: The solution runs on VaultOS™, which includes immutable backups, multi-layer ransomware protection, and a zero-trust architecture. These features help provide stronger, more resilient data protection at the edge.

Q: How does centralized management benefit IT teams?

A: IT teams gain a single pane of glass to monitor, update, and manage all edge systems. This helps improve visibility, reduce operational overhead, and maintain consistent policies across environments.

Q: Why is this important for modern edge environments?

A: As edge computing grows, traditional deployment methods become too slow and resource-intensive. This solution helps enable fast deployment, consistent data security, and reliable recovery, aiding organizations in keeping pace with scale and risk.

Justin Wolf is Senior Product Manager and Chad Bersche is Principal Product Manager at Commvault.


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Elevate Your Cyber Resilience with Commvault Cloud Enhancements

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Artificial intelligence is redefining what’s possible for modern enterprises: accelerating innovation, sharpening decision-making, and unlocking new efficiencies at scale. Behind every AI-driven insight lies a physical reality—one powered by energy, infrastructure, and data.

As AI adoption grows, so does the need to efficiently manage and protect data at scale.

The future of AI will not be defined by intelligence alone, but by how responsibly that intelligence is built and sustained.

Três fatores-chave do impacto ambiental

The environmental impact of AI is rooted in the compute infrastructure that powers it. Training and running AI models requires high-performance systems that consume electricity. But compute intensity is only part of the story.

AI depends on vast amounts of data—stored, moved, and processed across systems, each contributing to resource use.

All of this is supported by data centers, where servers must be powered and cooled. Cooling systems can represent a meaningful portion of energy use, making data infrastructure design a critical factor in AI sustainability.

Finally, the environmental impact of AI is influenced by how electricity is generated: the same workload can result in very different carbon emissions depending on the energy source.

Combata a ineficiência, não a inovação

AI is scaling rapidly as organizations deploy it across functions, generate more data, and expand infrastructure to keep pace. A key inefficiency often goes unnoticed: half of enterprise data is never accessed after being stored.1Companies pay to store it without realizing value from it. This is where the environmental footprint of AI can expand—not through innovation, but through inefficiency.

Addressing this starts with better visibility and control over data.

Dados mais inteligentes: uma poderosa alavanca para a sustentabilidade

Como a IA utiliza grandes conjuntos de dados, as organizações podem ajudar a reduzir o impacto ambiental ao corrigir práticas ineficientes de gestão de dados que geram cargas de trabalho desnecessárias. As soluções da Commvault oferecem vários recursos que ajudam as empresas a gerenciar e aproveitar os dados com eficiência:

  • Deduplication to remove redundant data
  • Tiering to align storage and processing with access needs
  • Compression to reduce storage requirements

A gestão intencional de dados ajuda a melhorar a eficiência e a reduzir o uso de recursos.

Sustentabilidade e resiliência: duas faces da mesma estratégia

Data environments filled with redundant and unorganized data are not only energy-intensive, they are also harder to secure, govern, and recover. Complexity increases risk and complicates business continuity plans.

By helping organizations manage, protect, and leverage their data, Commvault supports systems that are both resilient and sustainable. Smarter data management can help reduce waste, improve efficiency, and strengthen cyber resilience.

O caminho a seguir

O futuro da IA será moldado pelas escolhas que as organizações fazem hoje. Os líderes nessa área irão:

  • Treat data as a strategic asset—not just a growing volume
  • Projete sistemas de IA levando em consideração a eficiência e a gestão do ciclo de vida
  • Incorporar a resiliência em todas as etapas de suas operações

With smarter data management, optimized infrastructure, and responsible design, organizations can reduce the environmental impact of AI—while unlocking its full potential.

Less waste. More resilience.


1A situação dos dados ocultos

Aakanksha Kashyap is ESG Specialist at Commvault.

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Pontos principais:

  • Os ataques cibernéticos têm como alvo, cada vez mais, tanto os ambientes de produção quanto os de backup, tornando essencial uma recuperação limpa e verificável.
  • A detecção integrada de anomalias e ameaças reforça a resiliência cibernética ao identificar dados comprometidos, validar pontos de recuperação confiáveis e acelerar a restauração.
  • Quando integradas aos fluxos de trabalho de proteção de dados, as funcionalidades de detecção de anomalias e ameaças podem ajudar a fornecer as evidências necessárias para uma recuperação rápida, segura e confiável.

Por que a resiliência cibernética depende da detecção integrada de anomalias e ameaças

Anomaly detection identifies unusual behavior in backup data that may indicate compromise. Threat detection identifies known malicious activity using signatures, heuristic analysis, and scanning techniques. Together, they help validate recovery points and enable clean data recovery.

For years, security leaders focused on preventing breaches. In today’s era of persistent attacks and AI-driven threats, organizations increasingly assume compromise and design systems that can withstand disruption and recover safely when it occurs.

Modern adversaries don’t always hide their presence – they reveal it when it serves their objective. Attackers try to infiltrate environments quietly, observe systems over time, and position themselves inside critical infrastructure. The moment an attack becomes visible is rarely the moment it begins; it is the moment the attacker chooses to act.

By then, compromised data may already be woven into backup copies. Integrated anomaly and threat detection can help organizations identify compromised backup data, validate clean recovery points, and assist recovery after a cyberattack.

For security and IT teams, the challenge is no longer simply detecting an attack but predicting and managing an attacker’s possible impact. Understanding what was affected, what remains trustworthy, and how the organization can recover safely without escalating business disruption is the solution.

This is why cyber resilience benefits tremendously from integrated anomaly and threat detection. When detection capabilities are embedded into data protection and recovery workflows, they help provide the shared intelligence that teams need to identify compromised data, validate trusted recovery points, and guide response decisions with evidence rather than guesswork.

This approach aligns with the emerging ResOps™ operating modelemergente, no qual as equipes de segurança, TI e recuperação trabalham com base em uma visão compartilhada e em caminhos de recuperação validados para responderem em conjunto aos incidentes.

A nova realidade: a recuperação exige provas, não suposições

Traditional threat detection tools focus on spotting threats along the perimeter. But once attackers are inside, visibility can become fragmented and determining which systems and data have been affected becomes a challenge.

Further, attackers increasingly target backup environments specifically to undermine recovery. And the moment organizations cannot confidently prove that backups remain untouched, suspicion becomes unavoidable. The result is uncertainty. Restore quickly and risk reinfection? Or delay recovery while investigating which copies remain trustworthy? IT teams are forced to guess which data is safe while downtime accumulates.

By building intelligence directly into data protection workflows, anomaly and threat detection helps transform recovery from a reactive guess into a disciplined, evidence-driven process. These capabilities can help organizations pinpoint tampered copies, validate data cleanliness, and assemble the most recent uncompromised recovery points – helping you accelerate cyber recovery and reduce operational impact.

Detecção de anomalias: seu sinal precoce do desconhecido

Anomaly detection acts as a sentinel, guarding your protected data integrity. It establishes a baseline of normal behavior – file sizes, growth patterns, deduplication changes, access attempts – and alerts teams when something deviates from that norm. These deviations can surface signs of silent tampering long before malware signatures do. In an era of novel and polymorphic threats, anomaly detection helps offer what static tools can’t: visibility into the unexpected.

Detecção de ameaças: defesa direcionada contra atividades maliciosas conhecidas

While anomalies reveal what’s unusual, threat detection exposes what is malicious. By scanning protected data directly for ransomware, malware signatures, encryption patterns, and custom indicators of compromise (IoCs), threat detection helps validate that the data you protect is not already compromised.

Por que uma abordagem combinada é importante

Nem a detecção de anomalias nem a detecção de ameaças, por si só, oferecem uma visão completa. Juntas, elas proporcionam uma estratégia de defesa em profundidade: a detecção de anomalias pode identificar sinais suspeitos, enquanto a detecção de ameaças pode investigar mais a fundo para verificar se há intenção maliciosa. Essa combinação ajuda as organizações a distinguir anomalias inofensivas de verdadeiros ataques e a manter dados confiáveis e validados para uma recuperação rápida.

Meeting Today’s Challenges with Commvault® Cloud

Os invasores têm como alvo cada vez mais os ambientes de backup, e o malware oculto nos dados de backup pode aumentar o risco de reinfecção durante a recuperação. As organizações precisam de uma validação baseada em dados para garantir uma recuperação segura e confiável.A Commvault Cloud addresses this by combining data protection workflows with anomaly detection, threat intelligence, AI-enabled analytics, and isolated clean instances. With anomaly and threat insights applied before, during, and after backup operations, Commvault can help empower organizations to recover faster, cleaner, and confidently.

Read the full white paper, “Can You Prove You’re Recoverable Right Now?”para obter mais informações.

Perguntas frequentes

Q: What is anomaly detection in data protection?

A: Anomaly detection identifies unusual behaviors – such as unexpected backup size changes or abnormal file activity – that may signal tampering, ransomware, or emerging threats within protected data.

Q: Why do CISOs need threat detection in their backup workflows?

A: Backup environments are now prime attacker targets. Threat detection helps prevent organizations from storing or restoring compromised data, which helps reduce reinfection risk and improve chances for clean recovery.

Q: How does Commvault help enable clean data recovery?

A: Commvault uses AI-assisted threat scanning, encryption detection, custom IoC matching, and cyber deception to help validate backup integrity and assemble the most recent uncompromised data for rapid recovery.

Q: Why combine anomaly and threat detection?

A: Anomalies identify the unknown; threat detection validates the known. Together, they provide comprehensive visibility into suspicious activity, helping enable faster investigation and more confident data recovery.

Lista de Paulineé gerente de marketing de produto na Commvault

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Pontos principais

  • Advanced AI models like Claude Mythos Preview could dramatically accelerate vulnerability discovery, reshaping the cybersecurity landscape.
  • Project Glasswing highlights growing concerns about managing AI-enabled security risks at scale.
  • ResOps helps shift organizations from reactive defense to proactive resilience and recovery.
  • Cybersecurity tools focus heavily on prevention, while recovery capabilities remain underdeveloped.
  • In an AI-enabled world, the ability to recover quickly from disruption will define operational success.

Anthropic’s new Claude Mythos Preview modelis reportedly powerful enough to identify vulnerabilities in software systems in seconds. In early testing, the company claims the model was able to break out of its containment environment and email an engineer about the event.
Given these potential risks, Anthropic is limiting access to a small group of large organizations throughProject Glasswing. The goal: stay ahead of the security implications of a world where vulnerability discovery and exploitation may become trivial.
This shift strengthens the case for resilience operations (ResOps™). It could fundamentally change how organizations approach cybersecurity.
In a recent LinkedIn post, “The Beginning of the End of Cybersecurity,” Jen Easterly, CEO of RSAC and former director of CISA, argues that today’s cybersecurity industry is built to identify, defend against, and respond to software defects.
In effect, it compensates for gaps in software quality and secure development practices. If models like Claude Mythos Preview perform as described, their ability to surface vulnerabilities at scale could significantly disrupt today’s security tooling landscape.
A recent STRIVE episode – Evidence Over Hope: Will Your Recovery Plan Hold Up Under Pressure? – echoes this concern. Organizations have invested heavily in tools to prevent attacks, yet relatively little innovation exists “right of boom” – the capabilities required to recover the business when disruption inevitably occurs.

Why ResOps?

ResOps is an organizational discipline that embeds resilience into daily operations. It shifts organizations from passive, reactive backup strategies to an active, continuous model.
Traditional IT operations focus on efficiency. ResOps focuses on surviving failure. It brings together security, infrastructure, and operations teams around a common goal: Identify the organization’s minimum viable business – the critical systems, data, and processes required to operate – and enable those services to be restored quickly and cleanly after a disruption.
Most operational disciplines optimize for when systems work as expected. ResOps is designed for when they don’t. Its core question is simple: Can you recover each critical service right now – with confidence and evidence?

What Does the Future Hold?

If Easterly’s perspective proves accurate – that cybersecurity largely compensates for software defects – then technologies like Claude Mythos Preview represent more than incremental progress. They signal a structural shift in enterprise risk.
AI may help reduce the time between vulnerability discovery and remediation. It may even eliminate certain classes of software flaws. But it does not remove the risk of outages, misconfigurations, identity compromise, or cascading failures in complex systems. And it does not replace the operational discipline required to respond and recover.
Failure will still happen. That reality makes ResOps more important – not less. As prevention becomes more automated, resilience becomes the differentiator. Organizations will no longer be measured solely by their ability to block attacks. They will be measured by how effectively they recover – restoring critical services and trusted data under real-world conditions.
Cybersecurity aims to keep threats out. ResOps prepares you for when they get in. In an AI-accelerated world, the ability to survive and recover from failure may be the most important operational capability an organization can build.
Read more in our Readiness Report, Evidence Over Hope: The Executive Case for Resilience Operations, and learn more about theResOps disciplineon theReadiverse.

Perguntas frequentes

Q: What is Project Glasswing, and why does it matter?

A: Project Glasswing is an initiative by Anthropic to limit and study access to powerful AI models capable of identifying software vulnerabilities. It matters because it signals a future where vulnerability discovery becomes fast and widespread, increasing both defensive and offensive risks.

Q: What is ResOps, and how is it different from traditional IT operations?

A: ResOps is a discipline focused on enabling organizations to survive and recover from disruptions. Unlike traditional IT operations that prioritize efficiency, ResOps prioritizes continuity and rapid recovery of critical services.

Q: How could AI impact the future of cybersecurity?

A: AI may significantly reduce the time needed to detect and fix vulnerabilities, potentially disrupting existing security tools. However, it does not eliminate risks like outages or misconfigurations, making recovery capabilities even more important.

Q: Why is recovery becoming more important than prevention?

A: Despite heavy investment in preventive tools, disruptions still occur. As threats evolve and automation increases, organizations will be judged more on how quickly and effectively they can restore operations after an incident.

Q: What does “right of boom” mean in this context?

A: “Right of boom” refers to the phase after an incident has occurred, focusing on response and recovery. It highlights the gap in innovation around restoring business operations compared to preventing attacks.

Q: How can organizations start adopting ResOps?

A: Organizations can begin by identifying their minimum viable business – critical systems and data – and building processes to restore them quickly. This involves aligning security, IT, and operations teams around resilience-focused goals.

Jason Meserve is Director of Social Marketing at Commvault.

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Pontos principais

  • Rising operational disruption makes scalable resilience essential, but organizations commonly fall into traps like seeking “silver bullet” technology or relying on “hero worship” of individual experts.
  • O ResOps oferece uma estrutura escalável que integra pessoas, processos e tecnologia nas áreas de ITOps, SecOps e DevOps.
  • O apoio da alta direção, por parte do CEO, ajuda a promover a responsabilização e a priorizar a resiliência como uma disciplina estratégica.

Cyberattacks, cloud complexity, and AI-enabled threats are creating constant operational challenges for enterprises. To help meet business requirements in this increasingly disruptive environment, organizations need to move beyond separate recovery tools, teams, and plans to resilience as an integrated operating model.

In a recent webinar, Phil Goodwin, research vice president for IDC’s worldwide infrastructure programs, joined me for a fireside chat to explore how organizations can move beyond fragmented approaches to build resilience that scales.

Por que as organizações precisam de uma nova estrutura de resiliência

As organizations engage in daily firefighting while keeping up with new technologies and addressing new initiatives, they rarely have time to step back and reassess whether their approaches still meet requirements. But as isolated incidents become systemic disruption, this conversation has become essential.

In a simpler era, organizations focused primarily on backup and recovery. Large-scale disruptions such as Hurricane Sandy brought disaster recovery onto the agenda. Intensifying cyberthreats like ransomware added cyber resilience and business continuity to the list. Each evolution brought new capabilities, but many organizations simply bolted new approaches onto what they were already doing rather than addressing these expanding requirements holistically.

When separate teams manage different pieces with different tools and policies, gaps may emerge that can slow recovery. Despite years of investment in cybersecurity, organizations are still struggling with recovery.

More recently, AI has accelerated the urgency for a more integrated approach by reshaping both threats and defenses. Despite increasing AI investments, many businesses are delaying AI rollouts due to ongoing concerns about governance and security vulnerabilities.

On the other side of the cyber front, bad actors are using AI to create deepfakes, target users with more sophisticated and convincing phishing, and exploit vulnerabilities at scale.

Resilience operations – ResOps – treats resilience as a continuous operating discipline rather than a collection of separate tools and teams. By bringing together ITOps, SecOps, and DevOps under a unified framework, ResOps helps transform resilience to keep pace with systemic disruption.

Como evitar erros comuns no planejamento de resiliência

Even organizations that recognize the need for change often fall into traps. One is the “silver bullet” problem, which focuses on technology as the solution. Leaders want to believe that buying the right tools will solve everything, but technology alone can’t deliver positive business outcomes without proper integration and process.

“Hero worship” is another common pitfall – relying on talented staff members with expertise residing in their heads rather than in documented processes. Heroism can’t scale, and reliance on specific individuals creates vulnerability when people leave or responsibilities shift.

To move past these traps, you have to think differently about your operating model. Instead of focusing primarily on technology and people, consider the team you’ll need to build, including executive sponsorship, IT operations and security leadership, and senior leaders from the business side.

The team’s charter should focus on defining business outcomes first: What does resilience need to achieve for the organization? What KPIs, SLAs, and processes should be established to meet these requirements?

Desenvolvendo operações de resiliência de cima para baixo

Como prioridade do conselho administrativo, a resiliência requer apoio dos mais altos escalões. A ResOps ganha maior força quando o CEO se envolve, ajudando a definir as prioridades de recursos e promovendo a responsabilização em toda a organização. Com o apoio da alta direção, os líderes seniores — incluindo o CIO, o CTO, o CISO e os gerentes gerais — podem encarregar suas equipes da implementação.

Essa abordagem pode ser adaptada a organizações de todos os tamanhos. Mesmo as pequenas e médias empresas podem reunir equipes multifuncionais que incluam partes interessadas do negócio, equipes de TI e profissionais responsáveis pela segurança de dados e de rede. À medida que crescem, essa estrutura pode acompanhar esse crescimento, aumentando o quadro de pessoal em disciplinas específicas de resiliência, ao mesmo tempo em que mantém uma abordagem integrada em toda a cadeia de operações de resiliência. O ResOps reflete as formas como as equipes de operações de TI, SecOps e DevOps precisam trabalhar juntas dentro das organizações. Recovery e a segurança de dados tornaram-se tão intimamente alinhadas que, na IDC, pesquisadores dessas disciplinas agora colaboram frequentemente em projetos com clientes. Atualmente, as aplicações precisam ser projetadas tendo em mente os agentes maliciosos, incorporando arquiteturas de confiança zero e partindo do princípio de que algo dará errado. O ResOps oferece a estrutura necessária para essa convergência, reunindo ferramentas de segurança e operações em um modelo unificado para lidar com ameaças e interrupções de todos os tipos.

ResOps como uma estrutura compartilhada do setor

ResOps is an operating model, not a product, and can benefit companies regardless of the specific tools they use. As Phil observed during our chat, “It really requires that community involvement where people pitch in from different perspectives, different vendors, different organizations, and different teams, just like DevOps or SecOps.”

For organizations struggling with constant disruption and the growing complexity of AI-enabled threats and defenses, ResOps offers a path beyond fragmented resilience approaches. By bringing together people, processes, and technology in a unified operating model, ResOps turns fragmented recovery efforts into enterprise-wide readiness.

Watch my conversa informal completa com o Philpara ver como o ResOps pode ajudar você a desenvolver uma resiliência empresarial que se adapta à sua escala.

Perguntas frequentes

Q: What is resilience operations (ResOps)?

A: ResOps is an operating model that integrates IT operations, security operations, and DevOps into a continuous discipline. Rather than treating disaster recovery, cyber resilience, and business continuity as separate capabilities, ResOps brings people, processes, and technology together under a unified framework to help create scalable enterprise resilience.

Q: Why is executive sponsorship important for cyber resilience?

A: Executive sponsorship – ideally at the CEO level – helps drive accountability and priority for resilience initiatives across the organization. This top-down support is essential for organizations trying to move beyond fragmented approaches to integrated resilience operations.

Q: Can small and midsized organizations implement ResOps?

A: Yes. ResOps applies across organization sizes. The framework scales in complexity as organizations grow, making it accessible to mid-market firms while remaining effective for large enterprises.

Q: Why do IT and security teams need to work together for resilience?

A: When IT operations, security operations, and DevOps teams collaborate rather than work in silos, organizations can help build more resilient infrastructure to address evolving threats.

Q: How should organizations get started with resilience operations?

A: Start at the top by securing executive sponsorship at the CEO level. Next, form a cross-functional team including IT operations, SecOps, and business stakeholders, and have them define the business outcomes resilience needs to deliver for your business. Conduct a threat assessment to understand the risks you need to address. Only after these foundational steps should organizations focus on selecting technologies and developing detailed processes.

Chris Mierzwa is Senior Director, Portfolio Marketing, at Commvault.

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Note: This blog was originally published in October 2025 when Data Rooms was introduced. It has been updated to reflect the next evolution, Data Activate.

Pontos principais

  • Data Activate is part of Commvault’s next-generation AI capabilities – alongside O AI Protecteo AI Studio – anunciamos to help organizations activate AI safely, govern AI agents,ebuild agentic workflows from Commvault Cloud.
  • O Data Activate foi desenvolvido para que você possa transformar dados de backup em ativos confiáveis e prontos para IA, ao mesmo tempo em que ajuda a manter a governança e a conformidade.
  • A oferta une a proteção de dados e a ativação da IA sem criar novos riscos de segurança ou exigir outra platform.
  • Ele se integra a ecossistemas de IA existentes, como Microsoft Azure e Snowflake, usando padrões abertos, como Apache Parquet e Iceberg.
  • A governança integrada ajuda a viabilizar a curadoria, a classificação e o compartilhamento de dados protegidos dentro de uma arquitetura de confiança zero.
  • Ao ativar dados históricos, as organizações podem ajudar a acelerar a inovação em IA, análises e fluxos de trabalho de conformidade com segurança.

AI innovation depends on data – but not just any data. It depends on trusted, governed,eaccessible data. Yet for most enterprises, the data that could fuel AI lives deep within backups, scattered across environments,ewrapped in compliance constraints. That’s where Commvault’s Data Activate offering, previously known as Data Rooms, comes in.

Acelerando a IA com segurança

O Data Activate é um dos três recursos de IAanunciamos as part of its next-generation AI platform – alongside O AI Protecteo AI Studio. As organizations race to adopt AI, many are running into a fundamental challenge: their data is fragmentededifficult to use. According to a recent survey, 68% das organizações cite data silos as their top concern.

Commvault’s Data Activate offering helps transform backup data – one of the most completeetrusted datasets an organization owns – into AI-ready assets. Data Activate helps enterprises safely connect their data to AIeanalytics platforms, without creating new risks or complexity.

Unlike earlier bulk export approaches, Data Activate can regularly publish updated datasets, making it easier to keep AI pipelines in sync with the most current trusted data. Teams also can identifyeexclude sensitive data – such as personally identifiable information – before activating datasets for analytics or model development.

The Data Activate offering is not another AI platform. It’s the bridge between data protectionedata activation, designed to make your existing AI investments work fasteresafer. It does this by creating governed, policy-controlled “rooms” inside Commvault Cloud – spaces where data can be classified, curated,eshared with AIeanalytics tools without leaving the protection boundary.

Ouvindo os clientes: chega de Platform

We heard customers loudeclear: You don’t need another AI platform. You need a protected, simple way to use the data you already maintain – across the AI toolseecosystems you’ve already chosen.

That’s why Commvault built Data Activate to integrate with partners like Microsoft AzureeSnowflake using open-standard formats such as Apache ParqueteIceberg. This helps you keep your data portable, policy-compliant,eready for activation – wherever your AI strategy takes you.

Transformando a proteção de dados em ativação de dados

With Data Activate, authorized users can discover, classify,eprepare data directly from backup repositories – across on-premisesecloud environments. Built-in governance helps maintain control, allowing only approved datasets to be shared, with automated classification, sensitivity tagging, redaction,eaudit trails applied every step of the way.

Data Activate acts as a governed, policy-controlled workspace inside Commvault Cloud – where data can be curatedemade available to AI or analytics tools without leaving the protection boundary. This governed design provides a protected bridge between backup dataeactivation workflows, helping organizations unlock their information for innovation while being able to maintain complianceecontrol.

O Data Activate pode ajudar você a:

  • Accelerate insights: Quickly findeexport historical data in AI-friendly formats to train models or power analytics.
  • Simplify operations: Eliminate brittle ETL pipelines with automated data discoveryecuration.
  • Maintain compliance: Keep governance intact with policy-based controlsetraceability from backup to activation.

A confiança como base para uma IA responsável

Na pressa por adotar a IA, a confiança muitas vezes acaba sendo prejudicada. De acordo com umestudo, roughly three-quarters of surveyed IT leaders said that using AI could make their organizations more vulnerable to cyberattacks. That’s why Commvault built Data Activate within Commvault Cloud’s zero-trust architecture, complete with encryption, RBAC,ecompliance support.

By combining data protection, governance,eactivation in one platform, Commvault enables enterprises to accelerate AI innovation without compromising data security, compliance, or control.

Acelere a inovação sem aumentar os riscos

Commvault’s Data Activate offering helps organizations move faster by making data safely accessible to the tools that drive their business forward – from AI model training to analytics, eDiscovery,ecompliance support automation. Because when backup data becomes usable data, enterprises unlock years of historical intelligenceecontext that most AI models simply don’t have.

As Pranay Ahlawat, Commvault’s Chief TechnologyeAI Officer, said: “Organizations are beginning to realize that their historical data is more than just insurance – it’s a powerful, untapped strategic asset. With Commvault Data Activate, enterprises can confidently export their secondary dataeharness it with the AI platform of their choice to unlock new opportunities for intelligence, innovation,ebusiness growth.”

Por que isso é importante agora

Commvault’s Data Activate offering redefines what’s possible for enterprises that want to innovate responsibly. They make it possible to move from protecting data to activating data – safely, flexibly,eat scale.

In short: Commvault isn’t building another AI platform. We’re building the foundation that lets every AI platform work better – because when data is protected, trusted,eready for activation, innovation happens faster.


FAQs

Q: What is Commvault’s Data Activate offering?
A: Commvault Data Activate is a capability within Commvault Cloud that helps enterprises safely discover, classify,eactivate backup data for AIeanalytics. It supports open formats like Apache IcebergeParqueteis built on a zero-trust, governed architecture for controlled, self-service data access.

Q: How does Data Activate differ from other AI data solutions?
A: Most AI data prep tools work only on live or production data, creating complianceecost challenges. Data Activate works from backup data – data that’s already protectedegoverned – bringing a unique balance of accessibility, compliance support,etrust. It’s built into Commvault Cloud’s policy-controlled environment, so it’s part of a unified cyber resilience platform. Data Activate also regularly publishes updated datasets – rather than relying on one-time bulk exports – helping keep AI pipelines current without manual intervention.

Q: What benefits do organizations gain from using Data Activate?
A: Organizations can accelerate AIeanalytics insights, simplify data operations by reducing ETL complexity,emaintain compliance through automated classification, tagging,eauditing processes.

Q: How does Data Activate support data securityecompliance?
A: Data Activate operates within Commvault Cloud’s zero-trust architecture, applying classification, redaction,eaudit-friendly controls automatically. It helps maintain data privacy, traceability,ecompliance throughout the data lifecycle, aligning with internaleregulatory governance standards.

Q: What types of AI or analytics platforms can connect with Data Activate?
A: Data Activate integrates with leading cloudeAI partners such as Microsoft AzureeSnowflake, supporting open-standard data formats like Apache ParqueteIceberg for maximum flexibilityeportability.

Q: Why is this offering important for enterprises today?
A: As organizations accelerate AI adoption, Data Activate enables them to responsibly unlock the value of historical, protected data – fueling innovation while helping maintain trust, compliance,econtrol.

Vir Choksi is Principal Product Marketing Manager at Commvault.

 

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