Most Organizations Fail to Fully Recover After Ransomware Attacks

Many organizations believe they’re ready for a ransomware attack, but real-world incidents tell a different story, with most failing to fully restore their data. The gap between perceived readiness and actual recovery is leaving businesses far more vulnerable than they realize.

According to Veeam’s Data Trust and Resilience Report 2026, nearly 90% of security leaders are confident they can bounce back quickly from an attack, but only about 28% actually succeed in fully recovering their data. In reality, organizations typically restore only 72% of impacted information after ransomware incidents, with many still suffering data loss, operational downtime, or broader business disruption.

Why do most organizations fail to fully restore data?

Across all types of cyber incidents over the past year, more than 40% affected organizations reported disruptions to customers or constituents. Similar proportions experienced financial losses, while over 38% faced prolonged outages of mission‑critical systems.

This report also highlighted that testing and planning often help to boost confidence in recovery. However, operational and business pressures limit the frequency and realism of those tests.

“Confidence in recovery from a ransomware attack is high, but the data tells a different story – and AI is only widening that gap,” said Anand Eswaran, CEO of Veeam. “Even the most sophisticated organizations are discovering that confidence in recovery and proof of recovery are fundamentally different capabilities.”

AI is accelerating risk faster than security can keep up

More than 40% of organizations say AI adoption is moving faster than their ability to protect data and models. However, many lack full visibility into AI use across the business, which raises concerns about unauthorized tools and shadow AI activity.

According to Veeam, 43% organizations admit their security frameworks still don’t address AI‑specific threats, including the risks posed by generative AI. Those that recover most successfully are the ones with strong visibility into data and AI risk across live and backup environments, backed by rigorous testing, enforced controls, and clear executive agreement on ownership, reporting, and what effective recovery truly looks like.

From assumed readiness to proven cyber resilience

Organizations are encouraged to move from assumed readiness to proven resilience by grounding their cyber and AI strategies in visibility, enforcement, and validation. This starts with gaining a clear, end‑to‑end understanding of where critical data and AI systems reside, how they are used, and how they would be recovered in a real incident. Moreover, recovery plans should be stress‑tested under realistic conditions to expose gaps before an attack does.

It’s also important to translate governance into action. Organizations are advised to back policies with enforceable technical controls, such as access restrictions, data loss prevention, and immutable backups, rather than relying on guidance alone. Moreover, strong performers align leadership across security, IT, data, and business teams, with shared ownership of risk, clear reporting, and agreement on what “recovery” actually means for the organization. Regular communication with executives and boards, supported by meaningful recovery metrics, helps turn resilience into an accountable and business‑level capability.