Summary
A new report from the Ponemon Institute shows a widening recovery gap, making cyber resilience, fast cyber recovery, automated policy enforcement, and provable clean restore more critical than backup alone for modern CISOs.
The State of Cyber Resilience
Secure and resilient storage is fundamental to cyber resilience. Yet, leading organizations continue to face challenges in managing storage risks.
Security leaders have spent years investing in threat prevention and detection. But when an attack gets through, the question that matters most is much simpler: Can the business recover quickly, cleanly, and with confidence? The latest Ponemon Institute research, The State of Cyber Resilience, suggests that for many organizations, the answer is still uncertain.
More importantly, the findings make clear that the issue is not just backup coverage. It’s whether the organization has built a true recovery architecture: one that can ensure data availability and integrity, support better threat detection and remediation, accelerate threat remediation, enforce policy consistently across environments, and restore critical operations fast enough to reduce business impact.
That gap between what organizations believe their recovery posture can do and what it can actually deliver under pressure is the recovery gap. It’s the distance between having backups and having resilience, and it’s quickly becoming one of the most important questions a CISO can ask.
The State of Cyber Resilience report puts real data behind that concern. Here are five findings CISOs should pay attention to now.
1. Attacks against data in storage are frequent, and the cost is real
This is not a hypothetical problem. Ponemon found that organizations experience, on average, nearly 13 attacks against data in storage each year, and the most significant attack costs about $5 million on average.
That matters because storage is where the consequences become operational. When attackers target the data itself, the issue is no longer just intrusion; it’s operational survivability. The real test is whether critical systems, services, and workflows can be restored before the business impact compounds.
If your recovery assumptions were built for isolated outages or conventional disaster recovery scenarios, they may not hold up against modern attacks that are designed to disrupt access, destroy recovery data, and paralyze the production environment.
2. Recovery is still taking too long
One of the most striking findings in the report is that mission-critical applications take about 12 days on average to recover following a data security incident.
For most organizations, that is not a recovery plan. That is intolerable business disruption.
Ponemon also found that only 49% of respondents rate their backup’s effectiveness for rapid recovery as high, while just 53% say they have a good or high ability to minimize downtime and data loss in the event of an attack.
This is where the recovery gap becomes visible. Many organizations have protection mechanisms in place, but far fewer have recovery outcomes they can count on. Backup is necessary. But backup alone is not resilience, especially when time, scale, and confidence matter most.
3. Most organizations are still missing the architectural foundation for cyber resilience
Only 47% of respondents rate their cyber resilience as high to very high. Just 41% say they have a good or high ability to consistently manage data across all environments.
That is a warning sign. Modern environments stretch across on premises, cloud, and SaaS, but resilience often remains fragmented across tools, teams, and policies.
The research points to a broader truth: Detection without recovery architecture leaves organizations exposed at the moment it matters most, and architecture alone is not enough without consistent governance and enforcement across environments.
In other words, the gap is not just a tooling gap. It’s an architecture and governance gap. If protection policies are inconsistent, if protected copies are not configured correctly, or if recovery depends on stitching together disconnected systems during an active incident, the organization may discover its recovery gap only when it’s already under attack.
4. The biggest post-attack cost is recovery itself
When respondents broke down the cost of their most significant cyberattack, the single largest category was recovering up-to-date backups of critical data, which accounted for 31% of total cost.
That matters because recovery does not start at restore time. It starts with ensuring data availability and integrity. Teams need to understand whether protected copies are intact; whether unusual write patterns, snapshot changes, entropy anomalies, or suspicious administrator activity point to compromise; and whether the recovery point they’re about to trust is actually clean.
This is where the data layer becomes more than a place data sits. It becomes part of how the organization evaluates threats as an incident unfolds. Everpure™ SafeMode™ helps ensure protected copies remain indelible even if credentials are compromised. The intelligent control plane helps enforce protection policies continuously across environments. And storage-layer intelligence can surface signals that strengthen threat detection and feed security analytics, helping teams move from detection to recovery with more speed and confidence.
The result is a recovery model designed for attack conditions, where teams can validate, prioritize, and restore critical services without relying on the same systems an attacker may already have touched.
5. CISOs are looking for measurable, provable resilience
Ponemon found that only 52% of organizations say they measure cyber resilience in data storage security.
Among those that do, the most important measures are consistency in achieving recovery SLAs, according to 59%, and validated RTO and RPO, according to 56%.
The conversation is moving beyond generic confidence and toward evidence.
CISOs need better threat detection and remediation. They need visibility into whether:
- Unusual snapshot behavior, anomalous write patterns, entropy spikes, or suspicious administrator activity point to compromise
- Protected copies remain intact
- Clean recovery points can be validated
- Resilience policies are enforced consistently before an incident starts
This is also why automation is emerging as such a central theme. Sixty-six percent of respondents say automation is key to achieving a high level of cyber resilience.
During an attack, resilience has to be operationalized. It cannot depend on a heroic manual process, a brittle chain of point products, or a policy that was set once and never revisited.
The real question is not whether you have backups
It’s whether you have a recovery architecture that supports the operational goals of your organization.
Can you recover quickly? Can you recover cleanly? Can you prove it? Can you do it consistently across environments? And can you continually monitor and enforce controls and safeguards that keep threat actors at bay?
That is the recovery gap. And for many organizations, it’s wider than they think.
What this means
Cyber resilience cannot rely on backup alone. Closing the recovery gap requires resilience that is built into the data layer itself.
Storage is no longer passive infrastructure waiting for restore day. It becomes part of how the business detects threats, monitors risk, limits incident impact, and restores operations. And recovery is designed for attack conditions, with isolated recovery options and independent orchestration that help teams validate clean recovery points and bring critical services back without depending on the same systems an attacker may already have touched.
If you want to see how your organization compares, read “The State of Cyber Resilience” for the full research, data, and implications for security and infrastructure leaders.
