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Key Takeaways

  • Amazon S3 durability helps protect against infrastructure failures,but additional backup protection is needed for accidental deletion,misconfiguration,compromised credentials,and data corruption. 
  • Clumio helps protect S3 data with continuously updated,immutable,air-gapped copies that remain available even if the source AWS account is compromised. 
  • Protection groupsandpolicies let you define which S3 bucketsandobjects are protected,along with backup frequency,retention,storage tier,and recovery options. 
  • Clumio Backtrack helps provide point-in-time rollback for versioned S3 buckets,while SecureVault supports object-,prefix-,and bucket-level recovery from immutable backups. 
  • Testing restores before an incident helps teams become familiar with the recovery processandrespond more quickly when data is lostorcorrupted. 

Amazon S3 is designed for 99.999999999% (11 nines) of data durability. Meaning that S3 objects should remain recoverable even if hardwareorinfrastructure components fail. 

However,durability will only take you so far.  

It doesn’t help if a file is accidentally deleted,a lifecycle rule is misconfigured,an identityandaccess management (IAM) credential is compromised,or someone runs a batch delete against the wrong S3 prefix. 

In this post,I’ll walk through how Clumio protects Amazon S3 data and,more specifically,how to recover deletedorcorrupted files after an incident. I’ll cover setting up a protection groupandbackup policy,as well as findingandrestoring specific objects using the backup calendar,and performing point-in-time recovery using Clumio Backtrack. 

How Clumio Protects S3 Data

Clumio is a SaaS-based,agentless backup service for AWS. For S3 specifically,rather than taking periodic snapshots of a bucket,it instead reads change events (object creations,updates,and deletions)andkeeps a continuously updated,air-gapped,immutable copy of your data. This is what makes it possible to recover cleanly even if the source account itself has been compromised. 

Everything Starts with a Protection Group

A protection group is a named collection of oneormore S3 buckets. Buckets can be grouped based on tags,prefixes,storage classes,or manually selected. A policy is then attached to the protection group,and it’s the policy that defines the backup mechanisms that will apply to the group.  

Creating a Protection Group

1) To create a protection group,clickProtect,Protection groups,S3 protection groups. 

Creating an S3 protection group 

2) Then clickCreate protection group,and give it a name that reflects the workload,like prod-customer-data. Select Automated protection to add buckets by account,region,or tag. This will apply to future buckets that meet the selection criteria as well as what exists today. After that,click Next. 

Configuring automated protection 

There’s also the option to select buckets manually,and after completing the selection,click Next.  

Applying a Policy

TheDefault Policy performs monthly in-region backups with one-month retention,using SecureVault Standard,which creates a secondary,air-gapped copy of your objects. Restores typically complete in minutesandsupport instant access.  

3) To create your own policy,clickCreate new policy,name the policy,and select the S3 asset type.  

Creating a policy 

Configuring Backup FrequencyandRetention Settings

4) Click the checkbox to enableSecureVault,and you have the option to configure the backup frequency in terms of the number of days between backups,or select continuous backups,to back up your data at frequent intervals throughout the day. This enables point-in-time recovery for any point in time during the day. 

5) ChooseContinuous backup, and set the retention for one month.  

6) Click the checkbox to enableBacktrack,for point-in-time rollbacks. Note that S3 buckets must be configured with versioning enabled in order for rollbacks to work.  

7) UnderAdditional options,set the backup window to an appropriate time.  

8)Backup destinationis set to in-region by default. Note that transfer charges will apply if you store backups in a different AWS region.  

9) UnderSecureVault backup tier,select SecureVault Standardfor instant restores.SecureVault Archive is designed for data that will be retained for a long period,and should only be used when you can tolerate a 24- to 48-hour restore time.  

10) Click the checkbox to enableThreat Scan,which is a service that scans every backup execution to help flag compromised filesandidentify safe,uncompromised restore points to prevent environment reinfection. After that,click Add,and Save. 

Configuring the policy 

11) Check that the new policy is selected for your protection group,then click Next. 

12) UnderAdvanced options,you can choose which S3 storage classes to protect,whether you want all versions of an objectorthe latest version,includeorexclude certain prefixes,or include objects based on their creation date. Then click NextandCreate. 

Advanced options 

After that the new protection group will appear,and the first backup will be performed during the configured backup window.  

Protection groups view 

Verifying Your Backups

1) When you need to perform a restore,due to data being missingoridentified as corrupt,navigate to Protection groups,select the relevant S3 protection group to view the available backupsandClumio Backtrack Syncs. A blue dot in the calendar indicates that a successful backup exists for that day.  

Viewing successful backups 

2) View theBacktrack Syncson a per-bucket basis by selecting theBacktrack tab from inside the protection group,and verify that continuous backup has been functioning correctly. 

Backtrack Syncs available for point-in-time restore 

Restoring Data

In this example,I have some missing call transcripts. Each missing file has the prefix of transcript. I also have a file that is corrupted,named customers.csv. Luckily,I have a full backup as well as multiple point-in-timeBacktrack Syncsto restore from. 

S3 shows only a single call transcript; the rest have been deleted accidentally. 

1) From theRestore menu,select S3 buckets,and select the bucket that has missing files; then from the Backtrack dropdown,select Roll back. 

Using Backtrack to roll back to a point-in-time 

2) Select the bucket to roll back,choose the dateandtime,and then filter based on object key,sizeorS3 storage class. After that,click Previewto view the files available to roll back.  

Selecting files to roll back to a point in time 

3) Choose to roll back to the same source bucket,or specify a different bucket to roll back to. Then,click Copyto begin the rollback job.  

4) View the progress of the rollback in theTasksmenu. 

Viewing rollback progress 

5)Next,to restore the corrupted customers.csv file,I’ll click on the previous night’s backup in the backup calendar,then select Restore. There’s a choice to instantly access a read-only copy,restore the objectorrestore multiple files based on bucket nameorprefix.  

Restoring from backup 

6) SelectRestore object,then searchandselect the object to restore,and click Next. 

Selecting a single object to restore 

7) Select the version to restore,and clickNext. 

Selecting a version to restore 

8) Choose which AWS account,region,and bucket to restore to,and then begin the restore. 

Set the destination before beginning the restore. 

9) After the restore shows as successfully completed,the restored file should be available in S3.  

Theobject is restored. 

My Recommendation: Don’t Wait for an Incident

With a protection groupandpolicy in place,Clumio helps provide more than one way back from an S3 incident: Backtrack for near-instant,in-place,point-in-time rollback on versioned buckets,and SecureVault for restoring data from an immutable,air-gapped backup.  

Both help support recovery at object,prefix,and bucket granularity,allowing you to choose the recovery approach that best fits the incident. And in both cases,recovery comes down to a few clicks rather than having to manually review multiple S3 versions.  

Finally,the best time to test this is before you actually need it. Set up a protection group on your critical S3 buckets today,and run practice restores until they become second nature. Thenext time something disappears,you’ll already know exactly how to get it back.  

To get started today,request a demoortwo-week free trial. 

FAQs

Q: Why do Amazon S3 buckets need backup if S3 provides 11 nines of durability?A: S3 durability is designed to protect data against hardwareandinfrastructure failures,but it does not prevent logical data loss. Accidental deletions,misconfigured lifecycle rules,compromised IAM credentials,and unintended batch operations can still result in lostorcorrupted data. 
Q: How does Clumio protect Amazon S3 data?A: Clumio uses S3 change events to help maintain a continuously updated,immutable,air-gapped copy of protected data. This approach helps provide an independent recovery path even when the source AWS accountordata has been compromised. 
Q: What is an S3 protection group in Clumio?A: A protection group is a named collection of oneormore S3 buckets that share a protection policy. Buckets can be selected manuallyorautomatically based on criteria such as AWS account,region,tags,prefixes,or storage classes. 
Q: What is the difference between Clumio BacktrackandSecureVault?A: Backtrack helps provide point-in-time rollback for S3 buckets with versioning enabled,making it useful for quickly reversing unwanted changes. SecureVault helps maintain an immutable,air-gapped backup that can be used to restore individual objects,prefixes,or larger sets of data. 
Q: What is the difference between SecureVault StandardandSecureVault Archive?A: SecureVault Standard is designed for faster recoveryandhelps support instant access to protected data. SecureVault Archive is intended for longer-term retentionandis better suited to data for which a 24- to 48-hour restore time is acceptable. 
Q: How can teams prepare for an S3 data recovery incident?A: Configure protection groupsandappropriate backup policies for critical S3 buckets before an incident occurs. Regularly test object restoresandpoint-in-time rollbacks so the recovery process is familiar when production data needs to be recovered. 

 

Faye Ellis is Principal Training Architect – AWS at Pluralsight.

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Identity Resilience | Active Directory Recovery | Anomaly Detection | Cyber Recovery

Your Modern Playbook for Identity Resilience: Rapid Response and Clean Recovery

Identity resilience keeps your identity infrastructure operational when attackers strike. Commvault® Cloud Identity Resilience helps organizations protect and recover their identity systems before, during, and after a cyberattack.


You’re a cybersecurity leader. It’s 6:30 p.m. on a Friday before a long weekend. Just as you’re about to board a plane for vacation, your phone rings – it’s your SecOps team. IT systems around the world are becoming unresponsive, with indications of a ransomware attack.

In that moment, the difference between chaos and control comes down to two things: how fast you respond and how cleanly you recover. A swift reaction can help contain the damage. But if your recovery reintroduces infected data or starts from a compromised identity state, you may be back where you started.

Commvault Cloud Identity Resiliencehelps organizations respond to fast-moving attacks on identity infrastructure, where downtime can increase business risk.

It combines vulnerability assessments to identify and prioritize risk, real-time auditing and anomaly detection to help detect and contain threats, along with immutable, air-gapped backups and automated recovery workflows that help restore AD, Entra ID, and Okta to a trusted state while helping reduce manual effort and risk.

Commvault Cloud Identity Resiliencehelps organizations respond to fast-moving attacks on identity infrastructure, where downtime can increase business risk. It combines real-time auditing and anomaly detection to help identify and contain threats, along with immutable, air-gapped backups and automated recovery workflows that help restore AD to a trusted state while helping reduce manual effort and risk.

4 minutes– the fastest recorded time from initial access to lateral movement in identity-based attacks, leaving organizations with a drastically reduced window to detect, contain, and respond before potential system-wide paralysis

Source: ReliaQuest Annual Threat Report 2026


What Is Identity Resilience?

Identity resilience is an organization’s ability to protect, monitor, and recover identity infrastructure – including AD, Entra ID, and Okta – from cyberattacks, misconfigurations, and operational errors. Because identity systems govern access to business data, systems, and applications, they are a critical dependency for operational continuity.

Commvault Cloudhelps deliver unified identity protection with vulnerability assessment, real-time auditing and anomaly detection, and automated recovery in a single platform, rather than relying on fragmented tools.

It enables organizations to assess identity risk, monitor and detect suspicious changes, maintain isolated, recoverable copies of identity data, and restore identity services to a trusted state – helping reduce downtime and support business continuity after an incident.


Why Is Identity Resilience So Important Right Now?

Identity has become the primary attack surface in modern enterprises, with attackers increasingly targeting identity systems to gain unauthorized access, escalate privileges, andmove laterally. In 2024 alone,107 billion identity records were exposed, and90% of organizationsexperienced at least one identity-related breach in the past 12 months.

AD, in particular, remains a high-value target. In addition to being widely used, it also governs access to all an organization’s business data, systems, andapplications. Attackers use techniques such as credential theft, privilege escalation, anddirectory replication abuse to gain elevated access and expand their reach across the environment.

Commvault addresses this challenge by providing visibility, control, andrecovery for multi-IdP environments into a single platform. It helps preserve recoverable identity data, provide visibility into identity security posture, monitor for suspicious changes and activity, andenable access to trusted authentication services during an incident – helping organizations to restore identity systems and initiate broader recovery without waiting to manually rebuild infrastructure.


How Does Commvault Cloud Identity Resilience Work?

Commvault Cloud Identity Resiliencebrings together vulnerability assessment, real-time auditing and anomaly detection, and automated recovery into a unified operational model for identity resilience. It helps provide visibility into identity security posture, continuously monitor for high-risk changes, preserve recoverable identity data in isolated environments, and enable restoration of identity services to a known-good, trusted state.

A key differentiator is its architecture. Delivered through Commvault Cloud, the solution operates with a SaaS-based control plane that is independent of AD. This allows administrators to access recovery tools and initiate recovery workflows even during an AD attack or outage.

It also supports validation of recovered identity environments usingCommvault Cleanroom,helping enable organizations to test and verify identity systems in an isolated environment before returning them to production.

Together, these capabilities help organizations reduce risk, detect and contain identity-based threats faster, and recover identity infrastructure to a clean, trusted state in a controlled and repeatable manner, strengthening both security operations and overall cyber resilience.


Who Needs Identity Resilience?

Identity resilience is designed for identity and access management (IAM) and security leaders responsible for protecting access to critical systems and data. This includes identity architects, SecOps teams, AD administrators, and IT leaders managing hybrid identity environments across on-premises and cloud platforms.

Commvault supports these teams with a unified operational model that connects monitoring, protection, and recovery – helping them proactively assess vulnerabilities, detect and investigate and suspicious activity, and restore identity services with greater speed, control, and confidence.

Key Capabilities


Vulnerability assessment

Continuously evaluates identity configurations to help identify and prioritize security risks.


Immutable, air-gapped backups

Helps protect identity data in isolated storage to support recovery after cyber incidents.


Granular recovery

Helps restore individual objects or attributes without requiring full environment rebuilds.


Real-time auditing and anomaly detection

Tracks identity changes and activity to help support monitoring and investigation.


Automated recovery workflow

Streamlines recovery processes to help reduce manual effort and improve consistency.


Cleanroom validation

Helps enable testing and validation of recovery in an isolated environment before production restoration.


Smooth Integrations and IdP Support

Commvault Cloud Identity Resilience works with your existing security and IT management tools. Supported identity platforms and integrations include:

  • Microsoft Active Directory

  • Microsoft Entra ID

  • Okta

  • Microsoft Azure

  • AWS

  • Google Cloud

  • ServiceNow

How it works


How does Commvault help assess identity risk?

Commvault’s AD Vulnerability Assessment scans AD for misconfigurations, Tier 0 exposures, and attack-path risks – helping deliver prioritized remediation guidance before a breach.


How does Commvault help protect identity data?

Automated, policy-driven backup of objects and attributes across AD, Entra ID, and Okta – including users, groups, applications, and policies – stored in immutable, air-gapped storage not accessible with compromised credentials.


How does Commvault help detect identity threats?

Commvault’s real-time auditing and anomaly detection monitors AD change events in real time, helping surface high-risk events, including privilege escalations, suspicious authentication, and Tier 0 modifications and DCSync-pattern requests as they occur.


How does Commvault help contain active identity-based attacks?

When malicious or unauthorized changes are detected, administrators can execute a single-action rollback of affected objects or attributes directly from the audit record – no scripting or recovery window required.


How does Commvault recover identity infrastructure?

Commvault delivers granular object-level recovery, mass rollback, and fully automated forest recovery to helps restore the identity environment to a trusted state. Automated runbooks orchestrate full forest recovery, following the Microsoft-recommended approach, helping minimize downtime, reduce the risk of human error, and reestablish trusted access controls.


How does Cleanroom help prevent reinfection?

Cleanroom is designed so users can restore and validate the identity environment in an isolated cloud environment, helping confirm the absence of malware artifacts before returning to production.


Commvault Cloud Identity Resilience helps reduce the time between the start of an identity attack and its containment. It replaces manual recovery processes and fragmented tools with a unified platform for vulnerability assessment, real-time auditing and anomaly detection, and automated recovery.

Customers like Najm have recovered AD from disaster inunder 2 minutes – eliminating the 35% manual workload that traditional approaches require. For lean teams managing complex hybrid environments, this approach helps deliver measurable speed, control, and confidence.

Frequently Asked Questions

What is Commvault Identity Resilience, and what does it protect?

Commvault Cloud Identity Resilience is a unified platform that helps organizations protect, detect threats within, and recover AD, Entra ID, and Okta from cyber incidents, corruption, and operational errors. It combines immutable air-gapped backups, real-time change auditing, vulnerability assessments, and automated recovery workflows to help maintain trusted access before, during, and after disruptions.

Why is AD a frequent target for attackers?

AD manages access to applications, systems, and data across the enterprise, making it a high-value target. If compromised, attackers can gain broad access. Commvault Cloud Identity Resilience helps address this risk by monitoring AD for suspicious changes, helping enable rollback throughreal-time auditing and anomaly detection, and supporting automated recovery to help restore a trusted state.

How does Commvault help detect identity threats in real time?

Commvault Cloud helps provide visibility into AD changes through real-time auditing that captures identity, group, and policy modifications. It helps highlight potentially risky changes, such as privilege escalations, and enable response actions like rollback from audit events. The anomaly detection capability helps surface indicators of compromise, so teams can investigate and respond more quickly.

How does Commvault automate AD forest recovery?

Commvault Cloud uses orchestrated runbooks aligned with Microsoft-recommended approaches to automate the full forest recovery process. This helps reduce manual effort and the risk of error. A SaaS-delivered control plane can remain accessible if AD is offline, and Cleanroom can help validate the environment before returning to production.

Can Commvault recover specific identity objects without restoring everything?

Commvault Cloud helps supports granular recovery of users, groups, policies, and attributes, allowing teams to address specific changes without restoring the entire environment. This object-level recovery capability, part of Commvault Cloud Identity Resilience, helps reduce recovery time and operational disruption by restoring only what is needed, rather than requiring a full forest rebuild.

What is the difference between Identity Resilience and IAM?

IAM governs user provisioning and access policies during normal operations. Identity resilience – as delivered by Commvault Cloud Identity Resilience –helps address what happens when identity infrastructure is compromised or unavailable. IAM tools cannot restore AD forests, roll back malicious changes, or validate recovery in an isolated environment. Commvault fills this post-compromise gap.

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Key Takeaways

  • Years of reasonable technology decisions can accumulate into operational complexity that makes resilience harder to manage, govern, test, and maintain.  
  • Fragmented tools, policies, workflows, and ownership can create inconsistent recovery models and make business-wide recovery difficult to predict.  
  • Unified data protection can help reduce operational friction by simplifying control and standardizing protection across increasingly diverse environments.  
  • Cyber resilience depends not only on safeguarding individual workloads but also on building security into recovery processes and continuously proving recovery readiness.  
  • As cloud, SaaS, edge, and AI environments expand faster than teams, simplifying resilience architecture becomes increasingly important for reliable, repeatable recovery. 

One advantage of having spent part of my career on the operational side of backup and recovery is that I still can’t help looking at resilience through the eyes of the people who have to run it every day. 

Years ago, the job was complicated, but it was generally clear. Most critical systems lived within a relatively defined set of boundaries. Protection strategies were comparatively standardized. Recovery planning focused on a known set of applications, databases, and infrastructure. The technology wasn’t simple, but the operating model was understandable. 

Today, those boundaries have largely disappeared. 

Business processes span SaaS applications, cloud-native services, multiple clouds, edge environments, AI initiatives, and traditional infrastructure. Different teams own different parts of the stack. New technologies arrive faster than old ones are retired. And every addition introduces new dependencies that may not become obvious until something breaks or needs to be recovered. 

I recently joined Michael Thelander, Senior Director of Product Marketing at Commvault, for a webinar on how to address this very issue. You can watchUnified Data Protection as the Foundation for Resilience on demand now.   

Why Data Protection Keeps Getting Harder

What’s interesting is that most organizations didn’t intentionally design this complexity into their resilience architecture. They accumulated it over time. 

Cloud teams adopted native protection capabilities. Application owners implemented processes that made sense for the platforms they supported. Acquisitions brought inherited technologies and operating models. Business units optimized around their own requirements. Most of those decisions were reasonable and, in many cases, necessary. The challenge is that every one of those decisions carried a cost. 

There’s the obvious cost of software, infrastructure, and storage. More significant, though, is the operational cost that accumulates quietly over the years. Every new protection method introduces another policy framework to manage, another workflow to document, another exception to troubleshoot, another recovery process to test, and another set of skills the organization must maintain.  

Eventually, teams spend as much time managing the complexity surrounding resilience as they do improving resilience itself. 

On its own, that might sound like an efficiency problem. But over time, it evolves into a resilience problem. The more moving parts an organization introduces, the harder it becomes to maintain consistency. Recovery procedures evolve differently across teams. Policies drift. Ownership fragments. Knowledge becomes concentrated in a handful of people who understand how everything fits together. 

Eventually, the challenge stops being whether individual workloads can be protected and becomes whether the organization can consistently govern, test, and recover across everything it supports. Most organizations understand how individual systems recover. Far fewer can confidently explain how the business recovers. 

Arecent cyber resilience survey found that nearly half of organizations identify IT complexity as their biggest cyber resilience challenge. That finding isn’t particularly surprising. Most enterprises aren’t struggling because they lack protection technologies. In many cases, they have more protection technologies than ever before.  

The challenge is understanding how all of those technologies come together when the organization actually needs them. 

AI is making this reality even more visible. Models depend on training data, pipelines, infrastructure, repositories, identities, and services that often span multiple teams and environments. Protecting those individual components is one challenge. Recovering the ecosystem they collectively support is another. 

That’s one reason Michael and I spent so much time discussing complexity. 

On the surface, unified data protection sounds like a conversation about backup architecture. In reality, our discussion centered on a much broader challenge: how organizations reduce the operational burden created by years of accumulated complexity while creating a more consistent foundation for resilience.  

Because the goal isn’t consolidation for consolidation’s sake. It’s all about reducing operational friction. Creating consistency where consistency matters. And making recovery more predictable, repeatable, and trustworthy. 

From Fragmented Tools to a Unified Foundation

During the webinar, Michael and I explored four practical ways organizations can begin reducing complexity and strengthening resilience: simplifying control, standardizing protection, building cyber resilience directly into the recovery process, and continuously proving recovery readiness.  

While the tactics differ, the objective is the same. The less effort organizations spend stitching together fragmented tools, policies, and workflows, the more confidence they can have in their ability to recover when it matters most.  

What stayed with me long after the conversation ended was the recognition that resilience has become as much an operational and architectural challenge as a technical one. Organizations are being asked to support more applications, more clouds, more services, more data, and more AI initiatives than ever before. Yet few have the luxury of expanding teams at the same pace. That reality makes simplicity increasingly valuable.  

If I were running backup and recovery operations today and I were re-evaluating my organization’s approach, I wouldn’t start by asking whether we have enough protection tools. I’d start by asking how much complexity we’re carrying and what it’s costing us. Because those costs extend far beyond software licenses and infrastructure. They’re reflected in operational effort, fragmented processes, inconsistent recovery models, and ultimately in an organization’s ability to recover when it matters most. 

FAQs

Q: Why has data protection become more complex for organizations?A:Business processes now span SaaS applications, cloud-native services, multiple clouds, edge environments, AI initiatives, and traditional infrastructure. As teams adopt different protection methods for these environments, organizations accumulate policies, workflows, skills, and dependencies that increase the operational burden of resilience. 
Q: How can technology complexity affect cyber resilience?A:More tools and processes can make it harder to maintain consistent policies, ownership, testing, and recovery procedures across an organization. Over time, this fragmentation can turn what initially appears to be an efficiency challenge into a resilience challenge. 
Q: What is unified data protection intended to accomplish?A:Unified data protection is about more than consolidating backup technologies. Its broader purpose is to reduce operational friction, create consistency where it matters, and make recovery more predictable, repeatable, and trustworthy. 
Q: What practical steps can organizations take to reduce resilience complexity?A:Organizations can focus on simplifying control, standardizing protection, building cyber resilience directly into recovery processes, and continuously proving recovery readiness. Together, these practices can reduce the effort required to coordinate fragmented tools, policies, and workflows. 
Q: Why does AI make resilience complexity more visible?A:AI initiatives can depend on interconnected training data, pipelines, infrastructure, repositories, identities, and services spanning multiple teams and environments. Protecting each component individually does not necessarily address the larger challenge of recovering the complete ecosystem those components support. 
Q: What should organizations consider when reevaluating their data protection strategy?A: Rather than starting with whether they have enough protection tools, organizations should examine how much operational complexity they are carrying and what it costs them. That includes the impact of fragmented processes, inconsistent recovery models, administrative effort, and the organization’s overall ability to recover when it matters most. 

Jason Gizais Senior Manager, Partner Solutions Marketing, at Commvault. 

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What Is Recovery Point Objective (RPO)? A Complete Guide

Recovery point objective (RPO) defines how much data your organization can afford to lose after a disruption – and it shapes every backup, replication, and recovery decision you make.

Recovery point objective (RPO) is the maximum amount of data – measured in time – that your organization can lose after an unplanned disruption and still operate within acceptable limits.

Think of RPO as a data-loss clock: It starts ticking backward from the moment an outage, cyberattack, or human error strikes, and it stops at your last usable backup or replication point. Every second between those two points is data you may never get back.

NISTdefines RPO as “the point in time to which data must be recovered after an outage.” That definition is deceptively simple. In practice, setting the right RPO raises important questions about which workloads matter most, how often you back up, and how much you invest in replication infrastructure.

Cyberattacks, cloud outages, and accidental deletions happen on schedules you do not control. Organizations that define clear RPO targets – and enforce them with automated, policy-driven backup – position themselves to recover within business tolerance instead of scrambling after the fact.

This guide walks you through how RPO works, how it differs from recovery time objective (RTO), what are some real-world examples, calculating RPO, and RPO’s critical role in cyber resilience.

How RPO Works in Business Continuity Planning

RPO is the “data-loss clock” that shapes your backup frequency. If your RPO for a database is one hour, backups should run at least every 60 minutes. Miss that cadence and you may have already exceeded your tolerance before anything goes wrong.

In a business continuity plan, RPO sits alongside RTO as one of two recovery pillars. While RTO answers “How fast can we get systems running again?” RPO answers “How current will the recovered data be?” Both feed into the broader disaster recovery strategy – and both should be validated through regular testing, not just documented in a binder.

RPO can also have a compliance dimension:

  • Regulations like HIPAA generally expect healthcare organizations to maintain recoverable copies of electronic patient health information.
  • SOX includes provisions around keeping financial records auditable and intact.
  • GDPR contemplates that personal data processing should be restorable in a timely manner after a technical incident.

When an attack encrypts production data, the gap between your last clean backup and the encryption timestamp is the data you lose. That gap is your RPO in action – and it helps determine whether recovery takes hours or becomes a crisis.

The practical takeaway: RPO is not a number you set once and forget. It should reflect current data-change rates, compliance mandates, and threat landscape realities – and it should be enforced through automated backup policies.

RPO vs. RTO: What’s the Difference?

RPO and RTO are two sides of the same recovery coin, but they measure different things.

RPO looks backward from the moment of failure. It asks: “How much data can we afford to lose?” The answer is expressed in time – minutes, hours, or days – representing the gap between the last good backup and the disruption.

RTO looks forward from the moment of failure. It asks: “How quickly must systems be back online?” The answer is also expressed in time, but it measures downtime tolerance rather than data-loss tolerance.

Dimension RPO RTO
 Focus Data-loss tolerance Downtime tolerance
Measures Time since last usable backup Time to restore service
Direction Backward-looking (before failure) Forward-looking (after failure)
Key Question How much data can we lose? How long can we be down?
Example 1-hour RPO = Backups every hour 4-hour RTO = Systems restored in four hours

 

Both metrics should be defined together. An organization with a 15-minute RPO but a 24-hour RTO has recent data that sits idle for a full day. Conversely, a four-hour RTO paired with a 24-hour RPO means systems come back quickly – but with stale data.

Aligning RPO and RTO targets before an incident – and validating them through regular disaster recovery testing – can be the difference between a measured response and a scramble.

RPO Tiers and Real-World Examples

Not every workload deserves the same RPO. Tiering your RPOs by business criticality helps keep protection tight where it matters and costs manageable where it does not.

Tier 0: Near-Zero RPO (Seconds to Minutes): Financial transaction databases, electronic patient health records, and real-time trading platforms typically call for continuous data protection (CDP) or synchronous replication. These workloads generate revenue or carry regulatory weight every second, so even minutes of data loss can be difficult to absorb. Organizations implementing near-zero RPO typically use CDP or synchronous replication to help minimize the data loss window.

Tier 1: 1–4 Hours: Customer relationship management (CRM) systems, email platforms, and order processing systems often fall here. Frequent incremental backups – every 15 to 60 minutes – help keep data loss within tolerance. The cost is moderate, and the business impact of losing a few hours of email or CRM updates is generally manageable with manual re-entry.

Tier 2: 4–12 Hours: Internal collaboration tools, development environments, and project management platforms commonly operate in this range. Scheduled backups every 4 to 6 hours can strike a balance between protection and storage costs.

Tier 3: 12– 24 Hours: Marketing analytics archives, historical logs, and reference documentation often tolerate daily cloud backups. Data changes slowly and reconstruction is feasible, making daily backup cadences cost-effective.

Tiering helps organizations invest the most in protecting the workloads where each minute of data loss carries the highest cost, while avoiding overspending on archives that change once a week.

How to Calculate RPO for Your Organization

Calculating RPO is a business exercise first and a technical exercise second.  These steps can help set RPOs that reflect reality, not aspiration.


Identify critical data.

Catalog your workloads and classify them by business impact. Ask: If this system were to lose data, what happens to revenue, compliance, and customer trust? The answers help drive your tier assignments.


Assess data change rates.

A database that processes 10,000 transactions per hour typically calls for a tighter RPO than a document repository updated twice a day. Measure actual change rates, not estimates.


Check compliance requirements.

Map each workload to applicable regulatory obligations. HIPAA, SOX, PCI DSS, and GDPR can each include data retention and recoverability requirements that inform RPO.


Evaluate budget and infrastructure.

Near-zero RPO typically involves CDP, synchronous replication, or both – and that infrastructure has a cost. Align your RPO targets with what your budget can sustain.


Set tiered RPOs and automate enforcement.

Assign each workload to an RPO tier, configure backup policies to match, and automate compliance monitoring. An RPO that exists only in a spreadsheet offers limited protection – enforcement should be continuous and policy-driven.

Reviewing and recalibrating quarterly is good practice. Data volumes grow, workloads shift, and threat landscapes evolve – your RPOs should keep pace.

RPO and Cyber Resilience

Ransomware does not care about your backup schedule – but your RPO determines how much leverage attackers have. A tight RPO means less data sits between your last immutable backup and the encryption event, helping reduce the blast radius of an attack.

Cyber resilience depends on more than backup frequency alone. Air-gapped, immutable backup copies help protect against attackers who compromise production environments so that they cannot reach or alter recovery data. When those backups are stored outside the primary cloud account, you add isolation that ransomware simply cannot cross.

This is where Clumio by Commvault fits into your RPO strategy. WithClumio, you store backup data in an isolated, fully managed environment outside your primary AWS account. Granular point-in-time recovery helps you restore to a precise moment before the attack – helping minimize data loss to the RPO you defined. Designed to help you maintain control of your recovery without depending on the same infrastructure the attacker compromised.

Organizations that maintain tight RPOs with immutable, isolated backups can avoid paying ransom because they can recover clean data independently.

The formula is straightforward: Tighter RPO plus immutable, isolated backups generally translates to a smaller attack surface and faster, cleaner recovery. That is the foundation of cyber resilience.

 

Frequently Asked Questions

What does RPO stand for?

RPO stands for recovery point objective. It defines the maximum acceptable amount of data loss, measured in time, after an unplanned disruption such as a cyberattack, hardware failure, or human error.

What is a good RPO?

A good RPO depends on the workload. Financial and healthcare systems often require near-zero RPOs, while internal tools may tolerate 4 to 12 hours. The right RPO balances business impact, compliance requirements, and budget allowances.

What is the difference between RPO and recovery time objective (RTO)?

RPO measures how much data you can lose, expressed as time since the last backup. RTO measures how long systems can remain offline. RPO looks backward from a failure; RTO looks forward. Both must be defined together in a disaster recovery plan.

Can RPO be zero?

A zero RPO means no data loss whatsoever. Achieving it requires synchronous replication where every write is confirmed on a secondary system before being acknowledged. This is technically possible but can be expensive, so most organizations reserve it for their most critical workloads.

How does RPO affect backup frequency?

RPO directly dictates backup frequency. A one-hour RPO requires backups at least every 60 minutes. A 24-hour RPO allows daily backups. The tighter the RPO, the more frequent the backup or replication cadence must be.

What factors determine RPO?

Key factors include the business criticality of the data, the rate at which data generally changes, applicable regulatory and compliance requirements, available budget for backup infrastructure, and the organization’s overall risk tolerance. Most organizations tier their RPOs based on these factors.

Business Continuity Planning for the Cloud-Native Era

A modern business continuity plan starts with protecting your cloud data. Learn the key components, benefits, and best practices for cloud-native business continuity.

Why Continuity Matters

Cloud complexity multiplies the challenge. Most enterprises now operate across multiple cloud providers, each with different security models, backup mechanisms, andshared responsibilityboundaries. Data sprawl across Amazon S3 buckets, DynamoDB tables, and data lakehouse environments creates blind spots. The shared responsibility model means your cloud provider secures the infrastructure, but you own the protection and recoverability of your data.

The business impact of an unplanned disruption goes far beyond downtime. Revenue loss compounds by the minute. Customer trust, once broken, takes months or years to rebuild. Regulatory penalties under frameworks like GDPR, HIPAA, and SOX can reach millions. And reputational damage often outlasts the incident itself.

A well-structured business continuity plan transforms your organization from reactive to resilient. It defines exactly how you will protect critical data, recover operations, and communicate with stakeholders when disruption strikes. Without one, recovery becomes improvisation — and improvisation under pressure rarely ends well.

For a deeper look at recovery capabilities that support business continuity, seeessential disaster recovery capabilities for business continuity management.

Plan Components

A strong cloud business continuity plan is built on interconnected components that work together before, during, and after an incident.


Business Impact Analysis and Risk Assessment

Start with a business impact analysis (BIA) to identify your most critical workloads and quantify the cost of downtime for each. Pair this with a risk assessment that maps threats — ransomware, cloud provider outages, insider errors, compliance failures — to specific data assets. This analysis drives every decision that follows.


RTO/RPO Targets per Workload

Not all data is created equal. Define recovery time objectives (RTO) andrecovery point objectives (RPO)for each workload based on its business criticality. A customer-facing database may need an RPO of minutes, while archived logs may tolerate hours. Tiered targets prevent over-spending on low-priority assets and under-investing in high-priority ones.


Cloud Backup Strategy

Your backup strategy must be automated and policy-driven. Manual processes introduce human error and cannot scale. Define policies that capture changes continuously, store backups in isolated environments, and support granular recovery at the object, prefix, bucket, table, or partition level. Explore yourcloud backup optionsbefore committing to a single approach.


Communication and Escalation Protocols

Document who is responsible for what during an incident. Define escalation paths, notification timelines, and communication channels for internal teams, executives, customers, and regulators. A recovery plan that no one can execute is not a plan at all.


Testing and Maintenance

The most dangerous business continuity plan is one that has never been tested. Schedule recovery drills at least quarterly to validate that your RTO/RPO targets are achievable and your team knows the playbook.

Cloud-Native Benefits

Shifting your business continuity strategy to cloud-native solutions delivers measurable advantages over legacy on-premises approaches.

Scalability without infrastructure overhead. Cloud-native backup scales automatically with your data growth. You do not need to provision additional servers, storage arrays, or backup appliances. As your S3 buckets and databases expand, your protection expands with them.

Cost efficiency. A serverless, SaaS-based approach eliminates capital expenditure on dedicated backup hardware. You pay for the protection you use, and operational costs stay predictable as data volumes increase.

Enhanced security through isolation. Air-gapped, immutable backups stored outside your primary cloud account create a critical layer of defense. If ransomware compromises your production environment, your backup data remains untouched in an isolated vault. This separation is the difference between paying a ransom and restoring your data on your terms.

Rapid, granular recovery. Cloud-native solutions enable targeted recovery — restoring specific objects, prefixes, buckets, tables, or partitions rather than entire environments. This precision reduces recovery time dramatically and minimizes disruption to unaffected workloads.

Multi-cloud resilience. Organizations increasingly operate across AWS, Azure, and Google Cloud. Cloud-native backup solutions support cross-region and cross-account recovery, giving you flexibility to restore data wherever you need it.

The cloud data protection market continues to grow as organizations recognize these advantages. With cloud workloads expanding and threats intensifying, investment in resilience infrastructure is accelerating across industries.For more on howClumio’s cloud-native protection supportsransomware recovery,exploreourdedicated solution page.

Continuity Best Practices

Effective business continuity planning is not a one-time project — it is an ongoing discipline. These practices help you build and maintain a plan that holds up under real-world pressure.


Conduct regular risk assessments.

The threat landscape shifts constantly. Review your risk profile at least quarterly and update your BIA whenever you add new cloud workloads, change providers, or enter new regulatory jurisdictions.


Define and test your RTO/RPO targets.

Setting targets on paper is step one. Validating them through actual recovery drills is where readiness is built. Test restores against your defined objectives and document gaps. Revisit these targets as business needs evolve.


Adopt a multi-cloud backup strategy.

Do not rely on a single provider’s native tools for backup and recovery. Cross-account and cross-region backup capabilities protect you against account-level compromise and regional outages alike.


Automate backup policies.

Manual backup processes are fragile. Implement policy-driven automation that captures data changes continuously, without relying on scheduled snapshots that can miss critical updates between intervals.


Integrate security into your backup strategy.

Air-gapped storage, immutable backups, role-based access controls, and threat scanning should be standard features of your backup solution — not afterthoughts. Your backup data is a high-value target; protect it accordingly.


Test at least quarterly.

Recovery drills should simulate realistic scenarios, including ransomware events and accidental bulk deletions.  Testing reveals where your plan falls short before an actual incident occurs.

Cloud Backup Support

A modern business continuity plan requires purpose-built cloud backup — not legacy tools adapted for cloud environments. Traditional backup solutions were designed for on-premises infrastructure and struggle with the scale, speed, and architecture of cloud-native workloads.

Clumio by Commvaultwas built from the ground up for cloud environments. As a serverless, SaaS-based platform designed for AWS and Google Cloud, Clumio delivers the recovery capabilities that business continuity demands without adding customer-managed infrastructureoroperational complexity.

Air-gapped backups. Clumio stores backup data in an immutable, isolated environment completely separate from your production cloud account. This air-gapped architecture means that even if ransomwareoran account compromise affects your primary environment, your backup data stays protected and recoverable.

Granular recovery at scale. Rather than forcing full-environment restores, Clumio enables targeted recovery at the object, prefix, bucket, partition,ortable level. When a bad code push corrupts specific data, you recover exactly what was affected — nothing more, nothing less.

Cross-region and cross-account restore. Clumio supports flexible recovery paths, including restoring data to different regionsoraccounts. This capability is critical for disaster scenarios where an entire regionoraccount is compromised.

Clumio Backtrack for point-in-time rollback. Clumio Backtrack allows in-place rollback ofAmazon S3orDynamoDB data to a precise point in time. This is invaluable to help recover data corruptionoraccidental deletion without the delay of traditional restore workflows.

The speed of recovery matters. Purpose-built cloud backup compresses that timeline from weeks to hours —orminutes — transforming business continuity from aspiration into operational reality.

Frequently Asked Questions

What Is a Business Continuity Plan?

A business continuity plan is a documented strategy that outlines how an organization will maintain critical operations during and after a disruption. It covers everything from data protection and recovery procedures to communication protocols and escalation paths. In cloud-first organizations, the plan centers on protecting cloud workloads, defining RTO/RPO targets, and validating recovery through regular testing.

What Is the Difference Between BCP and DRP?

Business continuity planning (BCP) is the broader discipline focused on keeping all critical business functions running during a disruption. Disaster recovery planning (DRP) is a subset of BCP focused specifically on restoring IT systems, applications, and data after an incident. A strong BCP includes a DRP, but also addresses communication, personnel, and operational procedures beyond IT.

What Are Key Components of a Cloud BC Plan?

A cloud business continuity plan includes a business impact analysis, defined RTO/RPO targets per workload, automated cloud backup strategy, communication and escalation protocols, and a regular testing cadence. Each component must account for the unique characteristics of cloud environments, including shared responsibility models, multi-cloud architectures, and data sprawl.

Why Is Cloud-Native Backup Important?

Cloud-native backup is purpose-built for the scale and architecture of cloud workloads. Unlike legacy tools adapted for cloud, cloud-native solutions offer automated policy-driven protection, air-gapped storage, granular recovery, and serverless operation. These capabilities directly support faster recovery times and stronger business continuity outcomes.

How Often Should You Test Your Plan?

Test your business continuity plan at least quarterly. Each test should simulate realistic disruption scenarios — including ransomware, accidental deletions, and cloud provider outages — and validate that your defined RTO/RPO targets are achievable. Document the results, identify gaps, and update the plan accordingly.

What Is an Air-Gapped Backup?

An air-gapped backup is stored in an isolated environment that is not directly accessible from the production network or cloud account. This isolation protects backup data from ransomware, insider threats, and account-level compromise. Air-gapped backups are a critical component of a resilient business continuity strategy because they provide a clean, recoverable copy of data even when production systems are fully compromised.

SOC 2 Compliance Requirements: What They Are and How Data Protection Fits In

SOC 2 compliance requirements define how service organizations prove they protect customerdata and meetingthem hinges on more than firewalls and access controls. 

SOC 2 Overview

SOC 2 is a voluntary auditing framework created by the AICPA that evaluates how service organizations manage customer data. Unlike regulatory mandates such as HIPAA or PCI DSS, SOC 2 is not a law. It is an audit report issued by an independent CPA firm that assesses your organization’s controls against the AICPA’s Trust Services Criteria.

The framework applies to any technology company or service organization that stores, processes, or transmits customer data. In practice, that means SaaS providers, cloud hosting companies, data analytics firms, and managed service providers are the most common candidates. But the audience has broadened significantly.

Enterprise procurement teams now routinely request SOC 2 reports during vendor evaluations, making the audit a de facto requirement for doing business with large organizations. What makes SOC 2 distinct is its flexibility. You do not check boxes on a fixed compliance list.

Instead, you define the scope of your audit by selecting which of the five Trust Services Criteria apply to your services. Your auditor then evaluates whether your controls meet those criteria effectively.

SOC 2 compliance requirements push you toward exactly that kind of structured, documented approach to security and data protection, one that can lower both risk and cost. The AICPA’s Trust Services Criteria framework provides the structure, and the audit report gives your customers the evidence they need.

Trust Services Criteria

The five Trust Services Criteria form the backbone of every SOC 2 audit. Each criterion addresses a specific dimension of how you protect and manage data. Security is the only mandatory criterion, but most organizations include at least one or two additional criteria based on their services and customer expectations.

 Security (Common Criteria) – Security is the foundation of every SOC 2 report. The Common Criteria covers logical and physical access controls, system operations monitoring, change management, and risk mitigation.

Controls like CC6.4 (restricting physical and logical access to information assets) and CC6.7 (restricting the transmission, movement, and removal of information) are central to demonstrating that you protect systems from unauthorized access and threats. Every SOC 2 audit includes Security, regardless of which other criteria you select.

 Availability – Availability addresses whether your systems are operational and accessible as committed in your service-level agreements. This is where data protection becomes critical. Control A1.2 requires you to maintain backup processes and recovery infrastructure. Control A1.3 requires you to test your recovery plan, not just document one.

Auditors want to see that you can restore systems and data within defined recovery time objectives and recovery point objectives.Clumio’s operational recovery capabilitiesare purpose-built for this: policy-driven backup with automated scheduling and air-gapped storage that satisfies both A1.2 and A1.3.

Confidentiality – Confidentiality criteria (C1.1 and C1.2) focus on protecting information designated as confidential. This includes encryption of data at rest and in transit, retention policies that define how long confidential data is kept, and secure destruction processes when retention periods expire.

Processing integrity – Processing integrity evaluates whether your systems process data completely, accurately, and in a timely manner. This criterion is most relevant for organizations whose core service involves data transformation, calculation, or transaction processing.

 Privacy – Privacy addresses how you collect, use, retain, disclose, and dispose of personal information. It overlaps significantly with GDPR and CCPA requirements, making it a common addition for organizations that handle PII across jurisdictions.

SOC 2 Types

SOC 2 audits come in two forms, and the distinction matters. A SOC 2 Type 1 report evaluates whether your controls are properly designed at a specific point in time. Think of it as a snapshot: the auditor confirms your policies and controls exist and are appropriately structured on the date of the assessment.

A SOC 2 Type 2 report goes further. It evaluates whether those controls actually operate effectively over a defined period, typically six to 12 months. Auditors review evidence of consistent execution, including logs, change records, backup verification reports, and incident response documentation.

Type 2 is the standard that enterprise buyers expect. A Type 1 report can serve as an interim step while you build your audit history, but most procurement teams will require a SOC 2 Type 2 report before signing a contract.

The extended observation period is what gives the report its credibility: It proves your controls work in practice, not just on paper.

Control Mapping

Data protection is not a peripheral concern in a SOC 2 audit. It maps directly to multiple controls across the Security and Availability criteria. Yet many organizations overlook backup and recovery when preparing for their audit, focusing instead on access controls and network security.

Here is how specific SOC 2 controls align with data protection capabilities:


CC6.4

Restrict access to information assets

Clumio stores backups in an isolated, air-gapped environment with dedicated encryption, separate from your primary cloud account. This administrative isolation helps satisfy the control requirement to restrict logical access to protected information.


CC7.5

Identify and respond to security incidents

Clumio enables cross-account and cross-region recovery, helping support incident response testing and rapid restoration when production environments are compromised.


CC9.1

Identify and manage risk

Policy-driven backup with automated scheduling helps eliminate manual processes and custom scripts, which also helps reduce operational risk. Clumio’s serverless architecture scales automatically without infrastructure overhead.


A1.2

Maintain backup and recovery infrastructure

Clumio’s policy-based asset selection and offsite, air-gapped storage help deliver the backup processes and recovery infrastructure that auditors evaluate.


A1.3

Test recovery plans

Clumio supports restore testing through both its management console and API, helping enable you to demonstrate documented, repeatable recovery testing to your auditor.

Compliance Checklist

A structured approach to SOC 2 compliance requirements helps keep your audit on track and reduce the likelihood of gaps. Follow these steps:


Define your scope and select Trust Services Criteria.

Determine which criteria apply based on your services and customer commitments. Security is mandatory; add Availability, Confidentiality, Processing Integrity, or Privacy as needed.


Conduct a readiness assessment.

Identify where your current controls meet the criteria and where gaps exist. This is your roadmap.


Implement controls and document policies.

Build the technical and administrative controls required by each criterion. Document everything: policies, procedures, configurations, and responsibilities.


Perform internal testing, including backup and recovery validation.

Verify that your controls work as intended. For Availability, this means testing backup integrity, restore procedures, and failover processes.


Engage your auditor.

Select an independent CPA firm with SOC 2 experience. The auditor will define the observation period for a Type 2 report and outline evidence requirements.


Address gaps and obtain your report.

Remediate any findings from the audit and receive your final SOC 2 report. Starting with a clear checklist helps you move from preparation to audit with fewer surprises.

Frequently Asked Questions

What are the 5 SOC 2 criteria?

The five SOC 2 Trust Services Criteria are Security, Availability, Confidentiality, Processing Integrity, and Privacy. Security, also known as the Common Criteria, is mandatory for every SOC 2 audit. Your organization selects additional criteria based on the services you provide and your contractual commitments to customers.

What is SOC 2 Type 1 vs. Type 2?

A SOC 2 Type 1 report evaluates whether your controls are properly designed at a single point in time. A SOC 2 Type 2 report assesses whether those controls operate effectively over a period of six to 12 months. Type 2 is more rigorous and is the standard that most enterprise buyers require.

How long does SOC 2 compliance take?

For a first-time audit, expect the full process to take six to 12 months. That includes readiness assessment, control implementation, the observation period, and the audit itself.

How often is SOC 2 compliance required?

A SOC 2 Type 2 report covers a specific observation period, typically 12 months. Most organizations renew annually to maintain an unbroken audit history and help satisfy ongoing customer and procurement requirements.

Is SOC 2 compliance mandatory?

SOC 2 is a voluntary framework, not a legal requirement. However, enterprise customers, partners, and procurement teams increasingly require a current SOC 2 Type 2 report before signing contracts. In practice, it has become a baseline expectation for any service organization handling customer data.


Key Takeaways

  • ResOps is not a technology product. It’s a cross-functional operating discipline that helps drive organizational cyber resilience.
  • It complements backup, disaster recovery, cybersecurity, business continuity, and incident response by aligning these functions around end-to-end recovery outcomes.
  • ResOps focuses on critical services and business-defined impact tolerances, rather than isolated infrastructure components.
  • It relies on the continuous production of evidence, including tested recovery results, service resilience indicators, and an owned backlog of gaps.
  • ResOps is a continuous process. Neither making a plan nor running a successful one-time exercise are enough to establish lasting recovery capability.

The New Resilience Challenge

Most organizations invest in cybersecurity, backup,disaster recovery, and business continuity. Yet many executives still face three critical questions: Can we recover? How long will recovery take? And can we prove it?

Part of the challenge is that responsibility for resilience is spread across teams that often operate in silos. Security manages threats. IT maintains systems. Backup and disaster recovery teams restore data and infrastructure. Business continuity teams focus on keeping the organization running. Each plays an important role, but responsibility for recovery can remain fragmented.

ResOps brings these functions together around shared priorities, recovery goals, and evidence. The result is a more practical way to approach resilience: know what matters most, understand what it takes to recover it, test whether recovery works, and act on the gaps you find.

What Is ResOps?

ResOpsis the operational discipline that brings security, infrastructure, IT operations,business continuity, and business owners together around critical services, resilient design, and continuous validation. Put simply, ResOps helps teams prepare for disruption, recover critical services within business-defined impact tolerances, and demonstrate in an evidence-based way that recovery works.

Four characteristics define ResOps. It is:

  1. Cross-functional by design. ResOps connects distributed responsibilities through a shared operating model, named ownership, and executive governance.
  2. Centered on critical services. It prioritizes the services the organization must restore to deliver core value, serve customers, and generate revenue; as well as helping meet urgent legal, regulatory, safety, and mission obligations.
  3. Continuously validated. Resilience is a posture that teams must exercise and improve – not a state established by an annual test.
  4. Measured through evidence. ResOps produces a resilience posture score (RPS): a per-service, evidence-backed score that measures how recoverable a single critical service is based on validation results, dependency health, and clean-recovery confidence.

What Isn’t ResOps?

It’s not a product category.

No platform can create ResOps on its own. Data protection, cyber recovery, automation, observability, and testing technologies can support the discipline, but ResOps is organizational. It depends on governance, shared accountability, business priorities, operational practices, and a common standard of evidence.

It’s not a replacement for backup and recovery or disaster recovery.

ResOps does not replace strong backup and disaster recovery capabilities: it depends on them. Backup establishes whether recoverable copies exist. Disaster recovery provides the procedures and technical capabilities to help restore systems and infrastructure.

But then ResOps asks a broader question: Can the critical service return completely, cleanly, and within tolerance, including its identities, applications, data, infrastructure, cloud services, third parties, people, and decision paths?

It’s not another name for business continuity or incident response.

Business continuity defines how the business operates through disruption. Incident response detects, contains, and manages the event. ResOps connects those disciplines to the recovery outcome. It creates an operating rhythm for teams to agree on what matters, validate recovery under realistic conditions, measure results, and address the gaps that testing reveals.

It’s not a compliance exercise or one-time project.

A mature ResOps program can help generate evidence for boards, regulators, insurers, customers, and auditors. But documentation is a byproduct, not the objective. The objective is demonstrated recoverability.

And because systems, dependencies, threats, and business priorities keep changing, ResOps is never “finished.” It operates continuously, much like financial planning or security operations.

What Changes With ResOps?

ResOps shifts the focus from whether individual systems and processes are working to whether the critical service as a whole can recover. That changes the questions leaders can ask.

A successful backup is important. So is having a recovery plan. But neither one tells you whether a critical service can actually be restored when you need it. ResOps looks at the bigger picture:

  • Did we recover from a verified clean recovery point?
  • How long did it take?
  • Did we recover within the limits the business set?
  • And what still needs attention?

That’s why ResOps matters. It gives organizations a way to move beyond assumptions of resilience to programmatic, reliable demonstrations of their ability to recover. And they do it with continuous production of evidence and traceability. So when disruption happens, the question isn’t whether every team did its part or who failed at which task. It’s whether the business can restore the critical services its customers depend on.

Learn More

Commvault has publishedResOps: An Executive Guide to give CISOs, CIOs, IT, security, resilience, and risk leaders a practical framework for implementing ResOps in their organizations.

Leaders will learn how to identify the services that matter most, validate recovery readiness with real evidence, and continuously test resilience. As a result, organizations can establish a single operating model that unites security, infrastructure, IT operations, and business leaders around evidence-based recoverability.

Get the guide here. 

FAQs

Q: Is ResOps simply a new name for disaster recovery?

A: No. Disaster recovery is an essential part of ResOps, but ResOps looks at the entire critical service – including technical, third-party, human, and decision dependencies – and whether it can recover within a business-defined impact tolerance.

Q: Does ResOps require buying a new platform?

A: No. Technology can support mapping, testing, recovery, and evidence collection, but ResOps starts with ownership, governance, business priorities, and operating practices.

Q: Who owns ResOps?

A: ResOps needs a named leader with cross-functional authority and executive sponsorship. Individual service owners remain accountable for their services, while security, IT, business continuity, and business teams contribute to the shared recovery outcome.

Q: How is ResOps success measured?

A: Success comes from current evidence that critical services can recover cleanly within their defined impact tolerances – not simply from completing a plan or running a successful backup job.

A resilience posture score (RPS) is also a useful measurement tool. As a per-service, evidence-backed score, RPS helps demonstrate how recoverable a single critical service is based on validation results, dependency health, and clean-recovery confidence.

Q: How do organizations get started with ResOps?

A: Start by identifying the critical services the business depends on, who owns them, what they depend on, and how quickly they need to recover. From there, teams can validate recovery, identify gaps, and prioritize the work needed to strengthen resilience.

Michael Thelander is Senior Director of Product Marketing at Commvault.

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Key Takeaways

  • Resilience depends on how quickly and confidently the business can recover – not solely on keeping every threat out.
  • Turn recovery plans into evidence – tested results are more credible to boards, regulators, and insurers than targets or assumptions.
  • Make ResOps a shared operating model for security, infrastructure, business continuity, and service owners.
  • Measure what matters: Teams should know whether critical services can be restored, how long recovery actually takes, and whether they can prove it.
  • Select one or two critical services, define successful recovery, run an honest exercise, and document the results.
  • Twenty years in security leadership teaches you one thing early: The attack you stopped never makes the board meeting. The one you didn’t is the only story anyone remembers. Somewhere along the way I stopped measuring my team by how many hits we absorbed alone and started also measuring us by how fast we got back up.
  • That’s the reason I want every CISO, CIO, and board member I know to read this new book, ResOps: An Executive Guide. Commvault sponsored it, but I’d be recommending it either way.

The Wall Was Never the Whole Plan

For most of my career, the job was building higher walls. Better detection, tighter controls, faster response. That work still matters, and it always will. But a wall only answers one question, and it’s not the one your board is asking anymore.

Last September, ransomware forced Jaguar Land Rover to halt global manufacturing. Assembly lines stopped. Supply chains froze. The UK’s Cyber Monitoring Centre put the cost to the broader economy at roughly £1.9 billion, and JLR posted its lowest monthly production output in 73 years. JLR had defenses. What the incident tested wasn’t whether the wall held. It was whether the business could get back up once it didn’t.

I’ve said this before and I’ll keep saying it: Disruption isn’t an if, it’s a when. The CISOs who sleep at night aren’t those who believe they can keep everything out; they’re those who’ve practiced getting back up so many times that the practice itself is the confidence.

Three Questions I Ask My Own Team

The book organizes the whole problem into three questions, and I’ve started opening every resilience review with them:

  • If we were hit tonight, could we recover?
  • How long would it actually take?
  • Can we prove it, with evidence, to the board?

Most organizations answer the first two with a plan and the third with silence. That silence is the resilience gap, and it’s bigger and more expensive than most executives realize.

Proof, Not Promises

Here’s a distinction the book makes better than I’ve heard it made anywhere else: A recovery time objective is a target. It tells you what you’re aiming for – but it doesn’t tell you whether you’ll hit it.

Compare “we believe we can recover the payments service in four hours” to “we restored it in 3.2 hours last quarter, from a verified clean recovery point, against a four-hour tolerance.” The first sentence is a plan. The second is evidence. Only one of them holds up when your board, your regulator, or your cyber insurer starts asking harder questions, which they will.

We calls this discipline ResOps, short for resilience operations. It’s not a product you buy or a binder you file. It’s an operating model that connects security, infrastructure, business continuity, and the business owners who depend on these services, all working from the same evidence instead of separate plans.

The Part That Should Worry Every CISO

The book also names something I’ve felt for a while and finally have language for: the AI paradox. The same AI capability helping us find vulnerabilities faster is helping attackers close the gap between discovery and exploitation just as fast, maybe faster. Finding more problems doesn’t make you safer if you can’t recover from the ones that get through. Detection speed was never the finish line. Recovery capability is.

Start with One Service

None of this requires boiling the ocean, and I’d be lying if I said my own team got it right on the first try. The book lays out a 90-day path: Pick one or two of your most critical services, define what “recovered” really means for each, run one honest recovery exercise, and produce your first piece of real evidence. That’s a project any team can start this quarter, mine included.

Proof over promises. Readiness over perfection. That’s the standard I hold my team to, and it’s the standard this book gives you a real path toward.

Get your copy of ResOps: An Executive Guide here.

FAQs

Q: What is ResOps?

A: ResOps, short for resilience operations, is an operating model that connects security, infrastructure, business continuity, and service owners around shared, evidence-based recovery practices.

Q: How is ResOps different from traditional disaster recovery?

A: Traditional disaster recovery often centers on plans and technical targets. ResOps emphasizes continuous validation, cross-functional ownership, and measurable proof that critical services can be restored within business tolerances.

Q: Why is recovery evidence important?

A: Recovery evidence shows what an organization has actually tested and achieved. It helps give boards, regulators, insurers, and business leaders greater confidence than plans or recovery targets alone.

Q: What should organizations measure in a ResOps program?

A: Organizations should measure whether critical services can be restored, how long recovery actually takes, whether recovery points are clean and verified, and whether results meet defined business tolerances.

Q: Who should be involved in ResOps?

A: ResOps should bring together security, infrastructure, business continuity, application and service owners, and executive stakeholders so that recovery priorities and evidence reflect business needs.

Q: How can an organization get started with ResOps?

A: Start with one or two critical services. Define what successful recovery means, run an honest recovery exercise, document the results, and use that evidence to improve the next test.

Bill O’Connell is Chief Security Officer at Commvault.

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Key Takeaways 

  • Theupdated federal advisory documents new Medusa tactics, techniques, and more than 500 victims across critical infrastructure sectors. 
  • Attackers target more than production data; they also disrupt backups, identity, virtualization, and other systems organizations depend on for recovery. 
  • Theadvisory calls on organizations to prove their resilience through testing and validation against observed attacker behaviors, not assume it from plans or successful backup jobs alone.  

Thelatest federal advisory on Medusa ransomware was updated for a reason:Theadversary changed. 

Theupdated federal advisory, issued August 18, 2026, by the FBI, Cybersecurity and Infrastructure Security Agency (CISA), and U.S. Department of Health and Human Services (HHS), describes an adversary that recruits new access brokers, moves faster once inside, and has gotten better at making sure the damage it causes cannot be undone.  

TheAttack Is Not Just Against Your Data

Medusa actors move quickly. Investigators report that Medusa actors have leveraged newly announced exploits within 24 hours and, in some cases, have used exploits up to a week before public vulnerability disclosure. 

Once inside, they blend in using legitimate remote management tools, credential theft, and living-off-the-land techniques. 

But the advisory’s most significant finding is that Medusa attacks the recovery path itself. 

Theadvisory maps this activity to MITRE ATT&CK technique T1490, Inhibit System Recovery. It documents the ransomware terminating services associated with backups, security, databases, communications, file sharing, and websites. It also deletes shadow copies, and remotely shuts down and encrypts virtual machines. 

If an attacker is deliberately targeting the systems, identities, and infrastructure an organization may need to recover, the problem extends beyond data protection into cyber resilience and cyber recovery. 

Where ResOps (Resilience Operations) Comes In

ResOps is not another name for backup. It is an operating discipline that brings security, IT, infrastructure, applications, operations, and the business together around one outcome: keeping critical services running and recovering them within the time the business can tolerate. 

TheMedusa advisory never uses the word ResOps, but the thinking is there. It recommends organizations exercise, test, and validate their security programs against observed attacker behaviors, align security technologies to attack techniques, test them at scale, measure performance, and tune people, processes, and technologies based on the evidence. 

A backup does not prove it is clean. A recovery-time objective in a spreadsheet does not prove the business will be operating within that window. Resilience has to move from assumption to evidence. 

Start With the Business, Not TheServer

Theaddition of HHS in the advisory makes this especially relevant for healthcare, a sector the FBI says has been a frequent Medusa target. Therecovery conversation starts with three questions: 

  • What has to keep running, and what does minimum viable operation look like? 
  • Which identities, applications, infrastructure, and data support those services? 
  • Which recovery points we can trust, and what comes back first? 

In a hospital, leaving any one of those unanswered may mean a delayed surgery, a pharmacist who can’t verify a dosage, or a diagnostic system a clinician can’t trust. No single team can answer them alone, which is the gap ResOps is designed to close. 

Use Medusa to Test Your Assumptions

Use Medusa as a test case for recovery assumptions. Can an attacker reach the systems supporting recovery? What happens if Active Directory is compromised? Can you identify a clean recovery point, restore critical services in the correct order, and prove how long that will take? 

Threat actors adapt when defenders adapt. Resilience programs need to operate the same way: continuously tested, continuously validated, and continuously improved.  

Because the middle of an incident is a terrible time to discover that the recovery plan looked better on paper than it works in real life. 

FAQs

Q: What is Medusa ransomware? 

A:Medusa is a ransomware-as-a-service operation first identified in 2021. Its developers and affiliates use a double-extortion model, encrypting systems while threatening to publish stolen data if a ransom is not paid. 

Q: Why was the federal Medusa advisory updated? 

A: TheAugust 2026 update incorporates findings from FBI investigations as recent as April 2026. It expands the documented tactics, techniques, procedures, exploited vulnerabilities, affiliate activity, and indicators of compromise, while adding HHS insights on attacks against healthcare. 

Q: How does Medusa threaten an organization’s recovery capabilities? 

A:Medusa can terminate services associated with backups, security, databases, communications, and other critical functions. It also can delete shadow copies, alter identity-related policies, and shut down or encrypt virtual machines, putting the recovery path itself at risk. 

Q: What should organizations do to help reduce Medusa risk? 

A:Organizations should patch known vulnerabilities promptly, segment networks, restrict access to remote services, strengthen authentication, monitor lateral movement, and apply least privilege. They also should maintain separate, offline, encrypted, and immutable recovery copies and regularly test restoration workflows. 

Q: What is ResOps, and how is it different from backup? 

A: ResOps, or resilience operations, is a cross-functional operating discipline – not a backup product. It aligns security, IT, infrastructure, applications, operations, business continuity, and business owners around restoring critical services within the amount of disruption the business can tolerate. 

Q: How can an organization help prove it is ready to recover? 

A:Start with critical business services, map the identities, applications, infrastructure, data, people, and third parties they depend on, and define successful recovery. Then run realistic exercises that identify clean recovery points, restore services in the correct order, measure actual recovery time, and turn any gaps into an owned improvement backlog. 

Chris Bevilis Principal Portfolio Marketing Manager at Commvault. 

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Key Takeaways 
  • Roughly 1,200 supposedly isolated agents communicated through an unauthorized message board, and about 700 participated in Hugging Face-related activity. 
  • Agents exchanged over 70,000 messages and files, combining discoveries across sessions meant to remain separate. 
  • Investigators found agents spoofing tool calls and researching ways to alter evaluation transcripts to avoid detection by thegrader.  
  • Immutable, isolated backups alone are insufficient: Organizations need a validated, trustworthy recovery point before restoring to production. 
Theforensic reports are finally here, and they changed theway I think about this incident. 

About a month ago,I wrote abouttheOpenAI and Hugging Face security incident because I thought it was something anyone responsible for cybersecurity, AI or business resilience should be watching.  

At thetime, thestory sounded fairly straightforward: An AI agent found a way outside theenvironment designed to contain it and ultimately reached Hugging Face. 

That is not really what happened. 

TheStory Is Bigger Than One Rogue Agent 

Theforensic reports reveal that about 1,200 agents, supposed to be operating in isolation, discovered a way to communicate through an unauthorized message board. They exchanged more than 70,000 messages and files, and roughly 700 agents participated in activity associated with Hugging Face. 

None of that was prompted or intended. Theagents were persistent, they could share what they found, and they could combine effort across sessions that were supposed to have no contact with each other.  

Among thenew details: GPT-5.6 Sol agents reproduced an exploit and copied private evaluation data into a public Hugging Face dataset, a concrete escalation beyond what initial reports described. 

TheReward-Hacking Problem 

Theindependent investigation conducted by METR and Redwood Research, published alongside OpenAI’s own report on August 26, found that agents researched ways to spoof, edit or delete portions of their own evaluation transcripts because they incorrectly believed thegrader would inspect how they completed thetask. Researchers found successful tool-call spoofing in about 7% of thetranscripts they evaluated, though themanipulation they observed was small-scale. 

Thefinding is not that agents are “deceptive” in a human sense. It is that a sufficiently capable agent can search for ways around controls when those controls stand between it and theoutcome it has been optimized to achieve. 

OpenAI calls theincident a “warning shot.” I think that is a fair description. 

What Happens When Containment Fails 

Most of theconversation about this incident will rightly focus on alignment, sandboxing and monitoring. But there’s a resilience question underneath it: If 700 agents can find a side door around containment, what’s theplan for when a single compromised workload does thesame in your environment? 

OpenAI’s own conclusion points at theanswer: Security architecture should assume an individual workload or compute node eventually can be compromised. That means air-gapped, immutable recovery data, and a way to validate what you’re restoring before it touches production again. 

But immutability alone does not prove thedata was clean when it was captured. If thedata was already compromised at thetime of capture, immutability preserves thecompromise just as faithfully as it preserves anything else. 

Thepractical version of that question is simple to ask and hard to answer: If this happened to us, could we prove which recovery point predates thecompromise? 

We cover this operating model underResOps (resilience operations) on theReadiverse. 

TheLesson for Every Organization 

OpenAI has since tightened workload and network isolation, expanded monitoring, and revised its model-development practices. Thelesson applies beyond OpenAI: Contain theimpact, preserve what you can trust, and prove you can recover before you need to. 


FAQs 

Q: What was theOpenAI-Hugging Face incident? 

During internal cybersecurity evaluations, OpenAI agents bypassed controls intended to isolate them, accessed theinternet and reached third-party systems, including Hugging Face. Theactivity was driven primarily by an internal research model operating with reduced safeguards. 

Q: How did supposedly isolated agents communicate? 

A:They discovered an unauthorized message board in shared infrastructure. About 1,200 agents used it to exchange more than 70,000 messages and files, allowing information and tactics to carry across sessions that were designed to remain independent. 

Q: Were theagents instructed to attack Hugging Face? 

A: No. They were attempting to complete a difficult cybersecurity benchmark. When theintended route appeared blocked, some agents searched for alternative ways to achieve theevaluated outcome, and that activity expanded beyond theenvironment’s intended boundaries. 

Q: What does “reward hacking” mean in this context? 

A: Reward hacking occurs when an agent finds an unintended way to satisfy a metric or obtain a desired result without completing thetask as intended. Investigators found agents researching ways to spoof tool calls and alter or delete portions of evaluation transcripts because they believed thegrader might inspect their process. 

Q: Why are immutable backups not enough on their own? 

A: Immutability prevents stored data from being altered, but it does not prove thedata was clean when it was captured. If a backup already contains compromised data, immutability preserves that compromise. Organizations therefore need isolated copies, trustworthy recovery points and validation before restoration. 

Q: What should organizations do differently after this incident? 

A:Strengthen workload and network isolation, restrict unnecessary internet and credential access, monitor agent behavior and escalation signals, and assume that prevention may fail. Pair those controls with air-gapped, immutable recovery data and a tested process for identifying and validating a clean recovery point. 

Chris Bevilis Principal Portfolio Marketing Manager at Commvault. 

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Key Takeaways

  • Certificate lifespans will shrink from 398 to 47 days by March 2029 with “domain validation reuse” shrinking to just 10 days, making manual renewal obsolete and automatic Certificate Lifecycle Management (CLM) necessary.
  • Harvest Now, Decrypt Later operations are already underway to store data with long lifespans for future decryption using quantum computers, which means there is an immediate threat to encrypted, sensitive data that have longer term retention.
  • Certificate/Crypto Inventory is most crucial for companies to start building now, as continuous and automated inventory is the first step toward long-term cyber-resilience and crypto-agility.

The Problem Hiding in the Background

Most modern enterprise networks rely on a hidden layer comprised of digital certificates and cryptography that most people never see. This layer verifies machine trust and secures data flows, but with machine identities now outnumbering human identities bymore than 80 to 1 in the average enterprise according to CyberArk’s machine identity research, it can be easy to underestimate the cryptographic and certificate layer’s importance.

A helpful way to think about a digital certificate is an ID badge for a machine. If the badge is valid, the doors open automatically and no one thinks about it, but the moment that badge expires or is misconfigured, the door stops opening, regardless of how legitimate the machine behind it is. A single expired certificate can take down websites, break the APIs that let applications talk to each other, interrupt transactions, and create compliance violations, all while eroding user trust.

For years, organizations have managed certificates manually, but two changes are going to make it impossible to keep up by hand. First, the maximum lifespan of public Transport Layer Security (TLS) certificates, the protocol securing your browser, is being compressed to just 47 days by 2029. Second, the eventual arrival of quantum computers powerful enough to break today’s encryption is forcing a transition to Post-Quantum Cryptography. These two issues both point to the same solution – a governed, automated, and crypto-agile approach to CLM.

The Roadmap Behind Shrinking Certificate Lifespans

The operational window for public TLS certificates has been narrowing for a decade. In early 2023, Google first published its“Moving Forward, Together”roadmap, which proposed reducing certificate validity from 398 days to 90 days in hopes to push the industry toward automation. Apple accelerated that timeline in October 2024 byintroducing a draft ballot to the CA/Browser Forum, the industry body where certificate authorities and browser makers set shared rules. Apple’s proposal, endorsed by Sectigo, Google Chrome, and Mozilla, was approved in April 2025 as Ballot SC-081v3.

This reduction happens in phases. The past 398-day maximum has already dropped to 200 days as of March 2026, with the maximum being reduced to 100 days in March 2027, and finally to 47 days in March 2029. In practical terms, an organization that currently renews each certificate about once a year will soon berenewing every certificate roughly every month and a half; by the final stage, any process that depends on a person manually requesting and installing certificates will fail.

Browser makers are pushing for these shorter lifespans to force automation, which removes the human error that causes most certificate outages in the first place. They also let the entire web adopt new cryptographic standards in weeks rather than years, since old certificates cycle out quickly. Additionally, they help reduce reliance on legacy revocation systems which suffer from performance and privacy problems. Lastly, if a Certificate Transparency log (a public record of issued certificates) is ever disqualified, short-lived certificates dramatically shrink the number that must be replaced on short notice.

The Validation Crunch

While the 47-day limit gets headlines and attention, the more disruptive change may be what happens to Domain Control Validation (DCV). DCV is the process of proving to a Certificate Authority (CA) that you control the domain you are requesting a certificate for. Historically, once an organization proved ownership, the CA could reuse that proof for up to 398 days, but under SC-081v3, the reuse window shrinks to 200 days in 2026 and to just 10 days by March 2029.

This creates a real imbalance, as even an organization that fully automates certificate installation will stall if it cannot re-prove domain ownership every 10 days. Any delay in validation halts the entire issuance pipeline and leads directly to outages.

The practical answer to this problem is adopting the Automatic Certificate Management Environment (ACME) protocol withautomated DNS-01 API validation, so that proving ownership happens programmatically rather than waiting on a person.

The Quantum Threat and Timeline

While certificate lifespans shrink, the algorithms inside those certificates face a quantum threat. Traditional Public Key Infrastructure (PKI) rely on asymmetric cryptography to secure digital signatures, key exchanges, and TLS connections. A sufficiently powerful quantum computer running Shor’s algorithm could break these systems completely. Waiting until quantum computing is powerful enough to decrypt is not a viable option; as Commvault Field CTO Vidya Shankaran has written, “the exact date of Q-Day may remain uncertain. The direction of travel is not.” Estimates place Q-Day, the point at which a quantum computer can break public-key encryption, somewhere in the next 5 to 10 years. However, it would be a mistake to treat this as a future problem. Threat actors are already conducting Harvest Now, Decrypt Later (HNDL) operations, intercepting and storing encrypted traffic today with the intention of decrypting it once quantum computing matures. Data that must stay confidential for years, such as health records, intellectual property, and financial information, is effectively exposed the moment it is harvested.

The U.S. Federal Government has responded accordingly: In June 2026, the White House issuedExecutive Order 14412, Securing the Nation Against Advanced Cryptographic Attacks, which sets deadlines well ahead of NIST’s original 2035 target: Federal high-value systems must adopt post-quantum key establishment by the end of 2030 and post-quantum digital signatures by the end of 2031.

Despite this urgency, actual progress toward enterprise-level crypto-agility has been slow. The DigiCert Quantum Readiness Outlookfound that more than half of surveyed organizations expect classical asymmetric encryption to be broken within five years, yet only 7% have deployed quantum-safe or hybrid cryptography across their certificate estates, and overall readiness improved by just 2 percentage points in the past year.

Why Does Crypto-Agility Matter?

The most practical bridge between classical and post-quantum cryptography is the hybrid composite certificate, which combines a classical algorithm (RSA or ECC) with a post-quantum algorithm (ML-DSA, the standardized lattice-based signature scheme) inside a single X.509 certificate. Combining both into a single certificate is designed so that the certificate will hold up as long as either algorithm does, which is essential, as post-quantum algorithms are new and haven’t yet survived countless attempted attacks like RSA has.

However, post-quantum keys and signatures are several kilobytes rather than a few hundred bytes, which increases network latency, risks packet fragmentation during the TLS handshake, and adds computational overhead that may require hardware upgrades for constrained devices. This is exactly why crypto-agility matters; organizations need the ability to test, deploy, and rotate algorithms without rewiring their underlying infrastructure each time standards evolve.

Automated Certificate Lifecycle Management

Manual certificate management is not just inefficient; it is a genuine operational liability. When certificates live in spreadsheets out of sight, organizations lose visibility, and the result is expired credentials, weak key sizes, outdated signature algorithms, and noncompliant configurations that no one notices until something breaks. The resulting outages can confuse users, interrupt revenue, and land on whichever team is least prepared to explain them.A complete CLM platformaddresses this across the full life of a certificate:

  • Discovery: continuous scanning of cloud environments, datacenters, containers, and external domains to find all certificates in use.
  • Monitoring: tracking expiration dates, algorithms, key strengths, and compliance with security policy in real time.
  • Validation: Utilize direct API integration with public and private CAs, while automating domain validation and approvals
  • Installation: Deploy renewed certificates and keys programmatically through ACME or secure APIs, with no manual handoffs.
  • Revocation: Executing fast, policy-driven revocation is necessary so a compromised certificate can be rotated or revoked everywhere at once rather than hunted down machine by machine.

There is also a payoff hiding in the discovery step: The certificate inventory a CLM platform maintains is, in effect, the beginning of the cryptographic inventory that post-quantum migration planning requires, which can turn a compliance chore into a head start.

Non-Human Identities and Agentic AI

The scale problem is compounded by how modern applications are built. Containers, Kubernetes pods, virtual machines, Internet of Things (IoT) devices, and APIs all need their own credentials, and many of these workloads exist for only minutes or hours before terminating. No team of humans can issue and retire certificates at that velocity.

To keep up with this breakneck pace, AI agents can be utilized to discover, issue, renew, and manage certificates on their own, while remaining inside existing guardrails such as security policies, role-based access control (RBAC), and centralized audit trails. The result is automation at machine speed without giving up enterprise governance.

Where To Start

  1. The first step toward company-wide crypto-agility and resilience is organizational rather than technical. Followingguidance from NIST, enterprises should establish a central machine identity services team that owns the CLM platform, standardizes certificate templates, and maintains integrations with public and private CAs. Individual application owners and DevOps teams, in turn, should be responsible for wiring automated renewals into their own deployment pipelines, using the central platform as a shared service. This split keeps governance consistent while eliminating the manual handoffs that cause outages.
  2. Organizations should replace manual validation techniques and workflows with ACME and automated DNS-01 validation now, well before the 10-day DCV window arrives, while deprecating every manual renewal and validation process along the way.
      1. In parallel, organizations should conduct a full inventory of their cryptographic assets to surface hardcoded keys, legacy algorithms, and long-lived trust paths protecting sensitive data.
      2. Post-quantum preparation should start in a controlled environment rather than in production. A dedicated testing lab should be established to allow teams to test hybrid composite certificates and crypto-agile upgrades in a sandbox. By building applications on modular cryptographic libraries connected to a dynamic CLM platform, enterprises can gain true crypto-agility: the ability to rotate keys, ciphers, and algorithms across their infrastructure as standards change, without a rebuild.

The thread that connects all recommendations is inventory. A CLM platform’s discovery step is not busywork before the real fix; it is the same discipline organizations will need across every layer of quantum readiness. Certificates are non-human identities, and the same questions apply to service accounts, AI agents, open source dependencies, and the algorithms buried in application code: What do we have, what does it protect, and which of it matters most to the business?

Organizations that build that inventory muscle now, starting with certificates, will find the rest of the transition far less daunting, because prioritization becomes a calculation rather than a guess. Treating the next few years as a planning window rather than a grace period will help organizations make this transition on their own terms, instead of letting an outage make the decision for them.

Caitlin Dodson is a Summer 2026 Intern for FCTO – Americas at Commvault.

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Key Takeaways

  • Clumio Chat offers a faster, self-service way to evaluate Clumio’s cloud-native data protection capabilities.
  • The AI assistant provides answers about backup, recovery, cyber resilience, deployment, scalability,andcloud workload protection.
  • Explore technical questions about cloud workloads, required permissions, recovery options,anddata protection costs.
  • Clumio Chat helps cloud architects, platform engineers, DevOps engineers, SREs,andtechnical buyers assess whether Clumio fits their environment at their own pace.
  • When ready, users can move directly from product discovery to hands-on evaluation by creating an accountandstarting a free trial.

A Faster Way to Evaluate Cloud-Native Data Protection

If you’re evaluating cloud-native data protection, you probably want answers before you schedule a demo or talk to Sales.

Clumio by Commvault provides cloud-native backup, recovery,andcyber resilience for AWSandGoogle Cloud workloads. With Clumio Chat, you can ask productandtechnical questions, explore how Clumio works,anddecide whether it’s the right fit for your environment – all at your own pace.

 

Click “Ask Clumio” in the navigation bar on clumio.com to start a conversation with Clumio Chat.

Introducing Clumio Chat

Clumio Chat is an AI assistant designed to help you learn about Clumio’s cloud-native data protectionandrecovery capabilities. Whether you’re exploring key features, understanding how Clumio helps protect cloud workloads, or preparing to start a free trial, Clumio Chat gives you answers without requiring a sales conversation.

 

Get Answers to Real Cloud Data Protection Challenges

Instead of searching documentation or waiting for a meeting, you can ask the kinds of technical questions you would normally ask a solutions engineer:

  • What recovery options does Clumio provide for Amazon S3?
  • What permissions does Clumio require,anddo I need to deploy any backup infrastructure in my AWS account?
  • What scale does Clumio support for Amazon S3?
  • How does Clumio help reduce the cost of long-term cloud data protection?

 

Try It Now

Clumio Chat helps you move from product discovery to hands-on evaluation with less friction. Learn how Clumio works, explore the capabilities that matter most to you,andwhen you’re ready, create an accountandstart a free trial.

TryClumio Chat todayandexperience a faster, more self-service approach to evaluating cloud-native data protection.

FAQs

Q: What is Clumio Chat?

A: Clumio Chat is an AI assistant that helps you learn about Clumio’s cloud-native backup, recovery,andcyber resilience capabilities before starting a free trial.

Q: Who is Clumio Chat for?

A: Clumio Chat is designed for cloud architects, platform engineers, DevOps, SREs,andtechnical buyers evaluating cloud-native data protection.

Q: What kinds of questions can I ask?

A: You can ask questions about Clumio’s capabilities, deployment model, cloud workload protection, recovery options, scalability,andother technical topics related to evaluating the platform.

Q: Do I need to talk to Sales before trying Clumio?

A: No. Clumio Chat is designed to help you explore the product on your . If you decide you’d like additional guidance, you can always contact our team.

Q: Where can I try Clumio Chat?

A: Visitchat.clumio.com, or click Ask Clumio in the navigation bar onclumio.com.

Vir Choksiis Principal Product Marketing Manager at Commvault.

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Key Takeaways

  • Clumio by Commvault has achieved FedRAMP® Class C (Moderate) Ready statusand is now listed in theFedRAMP Marketplace as Legacy FedRAMP Ready.
  • The new milestone enables agencies and regulated organizations to evaluate Clumio while it continues toward a future Class C FedRAMP certification.
  • Clumio provides cloud-native backup and recovery designed specifically for public cloud environments.
  • The announcement expands Commvault’s public sector cyber resilience portfolio, complementing Commvault Cloud for Government, which addresses organizations requiring FedRAMP Class D (High).
  • Government agencies, contractors, technology partners, and regulated commercial organizations can all benefit from additional cloud-native cyber resilience options.
    As more government agencies and regulated organizations embrace the cloud, they need data protection that’s built for modern environments and aligned with evolving federal security requirements.

Clumioby Commvault, which provides cloud-native backup and recovery designed specifically for public cloud environments, has achievedFedRAMP Class C (Moderate) Ready statusand is now listed in theFedRAMP Marketplace. This important step expands cloud-native cyber resilience options for federal agencies, government contractors, and regulated organizations while moving Clumio closer to a future FedRAMP Class C certification.

Opening New Opportunities

FedRAMP is the U.S. government’s standardized approach to assessing the security of cloud services used by federal agencies. While an Authorization to Operate (ATO) is the ultimate goal, FedRAMP Class C Ready is the first major public step in that process.

After successfully completing its Readiness Assessment Report (RAR), Clumio is now listed in the FedRAMP Marketplace as Legacy FedRAMP Ready. This makes it easier for agencies, partners, and regulated organizations to discover and evaluate Clumio as it continues through the FedRAMP certification process.

Built for Modern Cloud Environments

As organizations continue updating their IT environments, traditional backup approaches often struggle to keep pace with cloud-native applications and services. Clumio was built specifically for the cloud, helping make it easier to protect data, simplify recovery, and strengthen cyber resilience without adding unnecessary complexity.

For organizations operating in FedRAMP Moderate environments, that means access to a cloud-native backup and recovery solution designed to align with federal security requirements while supporting operational efficiency.

Why This Matters for Customers

The demand for guarded, cloud-native data protection continues to grow across both the public and private sectors. Federal agencies, government contractors, and regulated commercial organizations all face increasing pressure to protect critical workloads while meeting evolving compliance expectations.

Clumio’s FedRAMP Class C Ready status helps address those needs by helping:

  • Expand cloud-native backup and recovery options for federal agencies and organizations operating in FedRAMP Moderate environments.
  • Provide greater visibility through the FedRAMP Marketplace procurement process.
  • Support customers that want to extend cloud-native data protection into regulated environments.

For existing customers, including organizations with both commercial and government cloud environments, this milestone also creates new opportunities to standardize cloud-native data protection across their operations.

Strengthening Commvault’s Government Portfolio

Clumio’s FedRAMP Class C Ready status complements Commvault® Cloud for Government, which serves organizations requiring FedRAMP Class D (High).

Together, these offerings give customers more flexibility to protect data across cloud, hybrid, and cloud-native environments while supporting different federal security requirements. Organizations with cloud-native workloads can evaluate Clumio for FedRAMP Moderate environments, while Commvault Cloud for Government addresses organizations requiring FedRAMP High.

Looking Ahead

Clumio’s FedRAMP Class C Ready status reflects Commvault’s ongoing investment in cloud-native cyber resilience for the public sector. As Clumio advances toward a future FedRAMP Class C certification, customers can begin evaluating the offering while Commvault continues expanding its public sector cyber resilience portfolio.

FAQs

Q: What is FedRAMP Class C (Moderate) Ready status?

A: FedRAMP Class C (Moderate) Ready status means Clumio has successfully completed its RAR and has been approved by the FedRAMP Program Management Office (PMO) for listing in the FedRAMP Marketplace as Legacy FedRAMP Ready. This allows federal agencies and other regulated organizations to evaluate the offering while Clumio continues through the FedRAMP process toward a potential future Class C FedRAMP certification ATO.

Q: Is FedRAMP Class C (Moderate) Ready the same as an Authorization to Operate (ATO)?

A: No. FedRAMP Class C Ready is an early milestone in the FedRAMP process. It is not equivalent to a full ATO.

Q: What is the FedRAMP Marketplace?

A: The FedRAMP Marketplace is the federal government’s official catalog of cloud service offerings participating in the FedRAMP program. It provides agencies and procurement teams with visibility into each offering’s status in the FedRAMP lifecycle.

Q: Who benefits from Clumio’s FedRAMP Class C Ready status?

A: The milestone can be valuable for federal agencies, government contractors, government-focused partners, and regulated commercial organizations that operate in FedRAMP Class C environments or use FedRAMP as a security benchmark.

Q: How does Clumio fit into Commvault’s government portfolio?

A: Clumio provides cloud-native backup and recovery for organizations with cloud-native workloads operating in FedRAMP Class C (Moderate) environments, while Commvault Cloud for Government can serve customers requiring FedRAMP Class D (High). Together, the offerings provide organizations with more flexibility based on their federal security requirements.

Poojan Kumar is Chief Product Innovation Officer at Commvault; and President & CEO of Clumio, a Commvault Company.

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Throughout theReady. Or Not. series,we’ve explored topics like agentic AI,digital trust,the human factor,and vibe coding. In this fifth and final episode of season one,the conversation shifts to the one constant behind every AI conversation: data. 

Nathan Macintosh sits down with Ben Lorica,former chief data scientist at O’Reilly Media and founder of Gradient Flow,to discuss what AI readiness really looks like. Their conversation moves beyond algorithms and applications to the work organizations need to do before AI can succeed.  

They explore why AI is changing the way we think about governance,why collecting more data isn’t always the answer,and why preparation matters just as much as adoption. 

Watch the full episode on Readiverse. 

Key Takeaways 

  • AI readiness starts with understanding and organizing the data you already have.  
  • Governance now applies to AI systems,not just people.  
  • More data isn’t always better. Strive for better data. 
  • AI introduces new risks that require new processes,not just new technology.  
  • The organizations best prepared for AI are building strong data foundations today. 

Organizations are generating and managing more data than ever before. It’s easy to assume the next step is simply collecting more data. Ben explains why preparing and governing the data you already have may be a much stronger foundation for AI. 

One thing I appreciated about Ben’s perspective is that he never presents AI readiness as a technology problem alone. It’s an organizational challenge that starts long before teams begin putting AI to work. 

Here are a few ideas that stayed with me. 

AI Is Only as Good as the Data Behind It 

“Focus on the data you have … and get that ready for AI.”– Ben Lorica 

One of Ben’s first points challenged a common assumption. When organizations talk about becoming “AI ready,” the instinct is often to collect more data. Ben sees it differently. Instead of prioritizing quantity,he encourages organizations to focus on quality and prepare their existing data for AI. 

That starts with understanding what data you have,organizing it,and making sure it’s accurate and well governed. As AI becomes part of more business processes,organizations will rely on many different types of information,from spreadsheets to text,images,audio,and video. If that data isn’t reliable,AI won’t fix the problem – and it can make it even more difficult to spot. 

There’s understandable pressure to move quickly with AI. This conversation reminded me that taking the time to build a solid data foundation may be one of the smartest investments we can make. Clean,well-governed data helps organizations make better decisions today while preparing them for whatever comes next. 

AI Changes the Role of Governance  

Ben points out that governance has a broader job to do. It’s no longer just about managing how people access and use information. Organizations also need to think about how AI interacts with that information and the actions it takes. 

As AI becomes part of everyday work,it can access,analyze,and act on information at a scale and speed that’s difficult for people to match. That means organizations need to understand what AI can access,how it’s using that information,and what safeguards should be in place to protect sensitive data. 

What’s interesting is that the fundamentals of governance haven’t changed. Clear policies around access,security,and accountability are just as important as they’ve always been. What is changing is the number of systems interacting with organizational data and the pace at which information moves across the business. 

To me,that’s one of the most important takeaways from this episode. AI doesn’t replace good governance. It makes it even more important. 

Sneak Peek: When Data Starts to Multiply

 

What happens when AI allows five people to do the work of 100? Ben explains why the real challenge isn’t productivity. It’s the explosion of data that comes with it. 

Responsible AI Starts With Responsible People 

One thing Ben emphasizes throughout the conversation is that organizations can’t rely on technology alone to make AI responsible. The people using AI play an important role,too.  

Whether employees are entering prompts,uploading documents,or fine-tuning models,they need to understand what information they’re sharing and how it could be used. Guardrails aren’t just about restricting access. They’re also about helping people make informed decisions when working with AI. 

Ben points out that organizations should think beyond what goes into an AI system. They should also pay attention to what comes out. AI can unintentionally generate sensitive information,making review and oversight of the outputs just as important as the prompts that started the interaction. 

It’s another reminder that responsible AI isn’t just a technology challenge. It’s a shared responsibility between the people using AI and the policies that guide them. 

Plan for the Unknown 

There’s understandable pressure to adopt AI quickly. New tools are emerging almost daily,and organizations don’t want to fall behind. But Ben makes the case that readiness isn’t just about moving fast. It’s about having the right processes in place before they’re needed. 

Toward the end of the conversation,Ben points out that many AI teams haven’t fully considered what they’ll do when things go wrong. I love Nathan’s response because it was exactly what I was thinking: 

“Why wouldn’t they think of that? That’s all I think about.”

– Nathan Macintosh 

In cybersecurity,resilient organizations don’t wait for an incident before deciding how they’ll respond. They establish roles,define processes,and prepare for different scenarios long before they’re needed. Ben argues that AI deserves the same level of preparation. 

That means asking questions many organizations haven’t fully considered yet,like: 

  • What data should AI have access to?  
  • Who should be involved if an AI-generated output creates a problem?  
  • How will decisions be made if something unexpected happens?  

These conversations may not be as exciting as launching an AI initiative,but they’re just as important. 

One Final Takeaway 

As this season ofReady. Or Not. comes to a close,one thing has become clear to me. Every episode explored a different AI concept or trend,yet they all reinforced the same idea: successful AI adoption isn’t just about the technology. It’s about the people,processes,and preparation that make it possible. 

Organizations don’t have to have every answer before embracing AI. But the more intentional they are about building strong foundations today,the more prepared they’ll be for whatever comes next. 

Watch the full episode on Readiverse. 

FAQs 

Q: What does AI readiness mean? 
A: AI readiness begins with understanding,organizing,governing,and protecting the data your organization already has. Strong data practices create the foundation AI depends on. 
Q: Should organizations collect more data for AI? 
A:Not necessarily. Ben recommends focusing first on improving the quality and organization of existing data before expanding data collection efforts. 
Q: What’s the role of employees in responsible AI use? 
A: Employees play an important role in AI governance. They need to understand what information is appropriate to share with AI,review AI-generated outputs carefully,and follow organizational policies for using AI responsibly. 
Q: Why does AI change data governance? 
A: AI systems increasingly access,analyze,and act on organizational data. That means governance policies need to apply to machines as well as people. 
Q: Why should organizations prepare for unexpected AI issues? 
A: AI can introduce new risks,from exposing sensitive information to producing unintended results. Preparing in advance by defining responsibilities and response processes helps organizations address those situations with greater confidence. 
Q: What’s the biggest takeaway from this episode? 
A: AI readiness isn’t just about adopting new technology. It’s about building solid governance,good data practices,and resilient organizational processes that help allow AI to be used responsibly and effectively. 

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

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Why Modern Cyber Risk Demands A-to-Z Cyber Resilience

Ransomware attacks target the full data lifecycle–from backups to production systems. See how Commvault’s A-to-Z cyber resilience approach unifies protection, detection, and recovery tohelpmanage risk and restore operations fast. 

Key Takeaways 

Modern cyber risk demands unified resilience across the entire datalifecycle, from prevention to recovery, as fragmented toolsfail to address today’s complex threat landscape. 

  • Cyber risk now affects customer trust, with breaches often leading to lost business and reputational damage. 
  • A-to-Z resilience brings protection, monitoring, governance, and recovery into a unified, more effective strategy. 
  • Leadership is essential in driving proactive defense, rapid response, and clear communication across the organization. 
  • Fragmenteddatasecurity tools leave gaps in hybrid environments that attackers can exploit more easily. 
  • An end-to-end approachhelpsimprove visibility, speed recovery, andmaintainbusiness continuity. 

Modern cyber risk spans the entire datalifecycle – from vulnerabilities and threats to recovery and compliance – making fragmented, reactive tools insufficient. Organizations need A-to-Z cyber resilience that unifies protection, monitoring, governance, and recovery. This approach helpsmanage risk, strengthen security posture, and enable faster, more reliable recovery across complex hybrid environments. 

A Single Breach Can Cost You Customer Trust

Cyber risk is no longer just an IT issue – it is a direct threat to customer trust and revenue.  

Sixty-four percent of consumers would stop doing business with a company after a significant data breach, highlighting how quickly loyalty erodes when data is compromised.  

This shift raises the stakes: Resilience is no longer optional; it is expected. 

At the same time, there is a disconnect between expectations and behavior. Consumers demand strong data protection, yet risky habits like password reuse or unsecured networks persist. That inconsistency can increase exposure and places more responsibility on organizations to protect data across every touchpoint. 

Trust is earned through consistent action – especially in cybersecurity. 

Commvault Cloud,powered byMetallic AI,helps organizations take that action by unifying protection, monitoring, and recovery across the full data lifecycle, reinforcing trust through consistent execution. The infographic reflects this A-to-Z approach, spanning early warning, threat monitoring, and rapid recovery. 

For organizations, the takeaway is clear: Resilience is not just about preventing attacks. It is about maintaining trust when prevention fails. 

 

Cyber Resilience Starts with Leadership

As threats grow more sophisticated, cyber resilience has become a business priority that extends beyond IT teams. Leadership plays a critical role in aligning strategy, investment, and accountability across the organization. 

This mandate shows up in three ways: 

  1. Protect before the breach.
    Strengthen defenses with zero-trust principles, regular monitoring, and unified platforms that adapt to evolving threats. 
  2. Respond fast when incidents occur.
    Customers and stakeholders judge organizations not just on whether a breach happens – but how quickly and effectively they recover. 
  3. Communicate with transparency
    Clear, timely communication helps preserve trust. Silence or delays can amplify reputational damage. 

According to industry data, theaverage cost of a breach has reached $4.88 million, reinforcing that cyber incidents are both operational and financial risks. 

Commvault Cloud supports this leadership mandate by bringing governance, threat detection, and orchestrated recovery intoa single platform – helping organizations align teams and respond with greater speed and coordination.  

End-to-End Resilience Helps Manage Risk

Modern environments are too complex for fragmented tools to keep up. Data spans hybrid cloud, on-prem systems, and SaaS applications – creating a broad and dynamic attack surface. Point solutions leave gaps that attackers exploit. 

An end-to-end approach helps close those gaps by integrating capabilities across the lifecycle: vulnerability management, threat detection, immutability,air-gapped protection, and orchestrated recovery. This unified model helps improve visibility and enable faster, more reliable response. 

Commvault Cloud brings these capabilities togetherwith AI-enabled insights, regular monitoring, and automated recovery workflows, helping organizations manage risk and maintain operational continuity across hybrid environments. 

Organizations should plan for cyber incidents as an expected event and prioritize resilience and recovery readiness. The difference lies in readiness – and having a unified approach to protection, detection, and recovery across the data lifecycle. 

Frequently Asked Questions

What is A-to-Z cyber resilience?

A-to-Z cyber resilience is a unified approach that covers the entire data lifecycle–from protection and monitoring through governance and recovery. CommvaultCloudhelps youimplementsthis through itsresilience operations (ResOps)framework, replacing fragmented tools with an integrated strategy that uses AI-enabled threat detection, immutable storage, and orchestrated recovery tohelpmanage risk and improve response times across hybrid environments. 

Why is cyber resilience a business priority, not just an IT concern?

Cyber incidentscandirectlyimpactcustomer trust, revenue, and brand reputation. CommvaultCloud helps organizations address this risk with unified data protection and threat monitoring, giving business leaders visibility and control tobe able torespond quickly andmaintaintrust across critical operations. 

How does a data breach affect customer trust?

A single breach canquickly erode customer confidence, especially when sensitive data is exposed. CommvaultCloud Threat Scanhelps identifyhidden threats in backup data, enabling safer recovery and helping organizationsmaintaintrust through more reliable, clean restore processes. 

What role does leadership play in cyber resilience?

Leadership aligns strategy, investment, and accountability across the organization. With CommvaultCloud and itsResOps framework, leaders canunify protection, detection, and recovery efforts, helping teams act faster, coordinate response, and communicate effectively during cyber incidents. 

Why are fragmented cybersecurity tools no longer effective?

Modern environments span hybrid cloud, SaaS, and on-prem systems, creating a broad attack surface. CommvaultCloud unifies capabilities like air-gapped protection,regular monitoring, and automated recovery, helpingeliminategaps and enablemore coordinated, efficient responses to threats. 

How does CommvaultCloud support cyber resilience?

CommvaultCloud integrates protection, threat detection, and recovery into a single platform. With capabilities likeCommvaultCleanroom™ and automated workflows, it helps organizations manage risk, accelerate recovery, andmaintainbusiness continuity across the data lifecycle. 

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Every episode of Ready. Or Not. has challenged me to think about AI a little differently. The conversations have moved from understanding agentic AI to building trust and preparing organizations for responsible adoption. This episode turns its attention to vibe coding and why it’s becoming one of AI’s most talked-about ways of working.

Comedian Nathan Macintosh sits down with Microsoft engineer and open-source leader Harald Kirschner to discuss what vibe coding really means, why it’s gaining momentum, and where it can go wrong if speed outpaces oversight.

Watch the full episodeon Readiverse.

Key Takeaways

  • AI is making it easier for organizations to test ideas, solve problems, and innovate faster.
  • Vibe coding helps teams quickly explore and validate ideas before making larger investments.
  • AI delivers more value when it’s used to challenge assumptions – not just generate content.
  • Human judgment, thoughtful review, and clear guardrails remain essential in an AI-driven world.
  • The organizations that learn faster will be better positioned to innovate.

I was already familiar with the term vibe coding, but after listening to this episode, I walked away with a much better understanding of why people – not just developers, but also nontechnical teams – are embracing it.

By the end of the conversation, I realized vibe coding isn’t really about coding at all. It’s about learning faster and knowing where AI fits into the creative process. The conversation also makes something else clear: AI may accelerate the work, but people are still responsible for guiding it. That’s why guardrails matter more than ever. Here are some of the themes that resonated with me.

From Idea to Reality

One thing I learned about vibe coding is that it’s changing how organizations explore ideas. Instead of spending weeks building something before finding out whether it works, teams can quickly create a prototype, gather feedback, and decide whether it’s worth pursuing.

“AI can be a really good critical thought partner if it’s applied properly.”

– Harald Kirschner

Harald explains that vibe coding uses natural language to turn ideas into working software. He uses software development as an example, but the concept extends beyond engineering teams. For a product manager testing a new feature, a designer exploring an interface, or a business leader validating a concept, AI makes it much easier to turn an idea into something people can actually experience.

That ability to experiment may be one of AI’s greatest strengths. Organizations can learn what resonates, refine ideas earlier, and invest time and resources only after they’ve gained confidence that they’re solving the right problem.

Moving Fast Still Requires Oversight

One thing Harald emphasizes throughout the conversation is that speed shouldn’t come at the expense of a thorough review.

Again, he uses software development as an example. AI can quickly generate working code, but that doesn’t automatically make it secure, reliable, or ready for production. Developers still need to review it, test it, and make sure it meets the same standards they would apply to anything else they build.

Harald’s lesson extends well beyond engineering. As AI becomes part of business processes, organizations will need the same mindset whether they’re generating software, creating content, analyzing data, or automating workflows. Vibe coding can help the work move faster, but people are still responsible for validating the results.

That’s one of the most important lessons from the episode. While AI can make it easier to create something quickly, human expertise is what turns a good idea into something people can trust.

Honest Feedback Gets Better Results

A memorable moment in this episode starts with an unexpected prompt. Instead of asking AI to write code, Harald asks it to critique his work by prompting it to “Roast my code.”

It’s funny, but it’s also an effective way to get more honest feedback from AI. Instead of acting like an assistant that simply completes a task, AI becomes more like a trusted colleague offering another perspective. Used this way, it can challenge assumptions, uncover blind spots, and improve the quality of the final result.

AI’s constructive criticism can help us improve our work, but it also becomes more useful when we continue teaching and refining it. Anyone who’s spent time working with AI knows it could use a little feedback, too.

Sneak Peek: Checking the Vibe

What happens when AI keeps making the same mistakes? Nathan compares it to an unruly party guest who eventually stops getting invited. Hear Harald explain how to train AI to become more useful over time.

Innovation Becomes More Accessible

Something that keeps resurfacing throughout the conversation is that AI is changing who gets to participate in innovation.

AI is lowering the barrier for people across an organization to explore ideas, experiment with new approaches, and quickly bring concepts to life. Instead of relying on technical specialists to validate every idea, more people can create something tangible, gather feedback, and refine their thinking before significant time and resources are invested.

“… you can actually build it and hand it to some people and see like, oh, this is flying, or this is really falling flat.”

– Harald Kirschner

To me, that’s one of AI’s most exciting opportunities. By making experimentation faster and more accessible, AI gives organizations the confidence to test more ideas, learn from them sooner, and involve more people into the creative process.

Ready for What’s Next

Vibe coding may be the workflow everyone’s talking about today, but the bigger story is how AI continues to change the way we learn, experiment, and solve problems. Every episode of Ready. Or Not. reminds me that the organizations willing to explore new technology will be the ones best prepared for what’s next.

Watch the full episodeon Readiverse.

FAQs

Q: What is vibe coding?

A: Vibe coding is an emerging way of working with AI that uses natural language to quickly turn ideas into something tangible. Instead of starting from scratch, people can use AI to prototype concepts, explore solutions, gather feedback, and iterate much more quickly.

Q: Why is vibe coding generating so much interest?

A: Vibe coding lowers the barrier to experimentation. It allows more people – not just technical specialists – to test ideas, validate concepts, and learn what works before investing significant time and resources.

Q: Does vibe coding replace human expertise?

A: No. The conversation makes it clear that AI works best as a collaborator, not a replacement. People are still responsible for applying judgment, reviewing results, and deciding what should move forward.

Q: Why do organizations still need guardrails when using AI?

A: AI can accelerate work, but it doesn’t eliminate the need for thoughtful oversight. Clear policies, review processes, and human expertise help organizations validate AI-generated work and reduce unnecessary risk.

Q: How can AI improve the way organizations work?

A: Beyond generating content or prototypes, AI can help challenge assumptions, identify blind spots, suggest improvements, and accelerate learning. Used thoughtfully, it becomes another perspective that helps teams make better decisions.

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

A: The greatest value of AI isn’t simply helping organizations move faster. It’s helping them experiment more freely, learn more quickly, and involve more people in the innovation process – while continuing to rely on human judgment to guide the final decisions.

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

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Key Takeaways

  • Commvault has joined the Open Secure AI Alliance to help advance open, secure, and collaborative approaches to AI.  
  • Open source AI tools give organizations greater visibility and control, allowing experts to inspect, adapt, and strengthen systems as threats and requirements evolve.  
  • Effective AI security extends beyond models to include identity, permissions, guardrails, logging, evaluation, and the broader environment in which AI agents operate.  
  • Cross-industry collaboration and shared research can help organizations respond more quickly to the rapidly changing challenges created by increasingly capable agentic AI.  
  • Commvault will share its cyber resilience and data expertise with the Alliance, grounded in the principle that organizations can better protect systems and data they fully understand.  

Collaboration has long been one of the most effective ways the technology industry meets new challenges. The past few months have brought that lesson into sharper focus for AI. Agentic systems are becoming more capable, more independent, and more deeply connected to the technology we use every day.  

Recent events also have shown how quickly this landscape can change. When an advanced AI system created an unexpected security challenge forHugging Face, the organization used an open-weight model on its own infrastructure to understand and contain the situation. The experience demonstrated the value of open source AI tools that organizations can inspect, adapt, and control when needed.  

Moments like this should not diminish our optimism about AI. They should deepen our commitment to shaping its future together.  

That is why Commvault is proud to join the  Open Secure AI Alliance, a community of leading organizations advancing AI through open research, shared knowledge, and practical tools.  

AI will keep evolving, and no single organization will have every answer. Bringing together deep expertise from across the industry gives the community a better chance to understand what is changing and respond with the speed this new era demands.  

Open source is central to that effort. It gives experts the ability to examine how systems work and improve what others have started. For defenders, it also provides something essential: the freedom to choose and adapt the right technology for the situation rather than depending on a single system or provider.  

NVIDIA describes this as an open defense foundation built on models, harnesses, and tools that the community can study and strengthen.  

The Alliance also recognizes that AI security extends well beyond the model. Identity, permissions, guardrails, logs, and evaluation all shape how an agent behaves. Understanding that complete environment will take new research and a willingness to share what the industry learns along the way.  

Commvault’s perspective is grounded in years of solving complex cyber resilience challenges – helping organizations understand their data, keep it trustworthy, and recover with confidence when disruption strikes.  

Much of that work comes down to the same idea the Alliance is pursuing: You can only protect what you fully understand. That’s the experience we hope to bring, alongside an eagerness to learn from others tackling these challenges from different angles. 

The opportunity ahead for AI is enormous. Realizing it will depend not only on how quickly the technology advances, but on how openly the industry works together as it does. Commvault is glad to be part of that work, and excited to help build what comes next.  

Read NVIDIA’s announcement here: Industry Leaders Join the Open Secure AI Alliance.  

FAQs

Q: What is the Open Secure AI Alliance?A:The Open Secure AI Alliance is a community of organizations working to advance AI security through open research, shared knowledge, models, harnesses, and practical tools. Its collaborative approach gives participants opportunities to study emerging challenges and strengthen AI defenses together. 
Q: Why has Commvault joined the Open Secure AI Alliance?A:Commvault joined the Alliance to contribute its experience in cyber resilience, data understanding, trust, and recovery. It also provides an opportunity for Commvault to learn from other industry leaders approaching AI security from different perspectives. 
Q: Why is open source important for AI security?A:Open source allows experts to examine how AI systems work, build on existing technologies, and adapt tools to specific security situations. It also gives defenders greater freedom to select and modify technologies rather than relying on a single system or provider. 
Q: What does AI security involve beyond protecting the model?A:AI security encompasses the broader environment in which an AI system operates, including identity, permissions, guardrails, logs, and evaluation. Understanding these interconnected elements can help organizations better assess and manage how AI agents behave. 
Q: How does Commvault’s cyber resilience experience relate to AI security?A: Commvault’s cyber resilience work focuses on helping organizations understand their data, maintain its trustworthiness, and recover confidently after disruption. That perspective fits naturally with the Alliance’s focus on open, inspectable approaches to AI security.  
Q: Why is industry collaboration important for the future of AI?A:AI is evolving too quickly and broadly for any single organization to have every answer. Combining expertise, research, and practical insights across the industry can help the community understand emerging challenges and respond at the speed AI development demands. 

Alexander Coombesis AVP, Strategic Partner Development, at Commvault.

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