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You are at:Home»Cyber resilience»System restoration is not business continuity: research finds that ‘most cyber recovery plans are built for the wrong outcome’ (Page 2)
Cyber resilience

System restoration is not business continuity: research finds that ‘most cyber recovery plans are built for the wrong outcome’

September 21, 20264 Mins Read
Three blank wooden signs against a blue sky.

Cohesity has released its fifth annual Cohesity Global Cyber Resilience Report, finding that 78% of organizations focus cyber recovery efforts on restoring systems rather than maintaining business operations. Restoring systems alone, however, does not guarantee a business can resume normal operations. Recovery depends on more, including whether restored environments can be verified as clean and safe, applications and dependencies are functioning properly, and employees have reliable access to systems and data.

The independent study, conducted by Vanson Bourne, surveyed 3,200 IT and security decision-makers across 12 countries. The research examined where recovery plans fall short during actual attacks, how organizations define business continuity during recovery, and how well current plans account for AI systems and emerging frontier AI threats.

The research makes clear that many organizations still view recovery as a technology exercise when it is fundamentally a business imperative. True resilience is measured by an organization’s ability to continue operating, meet customer commitments, and recover quickly during a cyber crisis.

Vasu Murthy, chief product officer, Cohesity

Restoring systems does not mean the business has recovered

The research found that organizations may struggle to resume normal operations even after systems are restored. Among those that experienced a material cyber attack in the past 12 months, 60% encountered moderate or significant delays because they lacked confidence that restored data and systems were clean and safe to use. 60% also reported identity or access issues after systems were restored.

The scope of affected systems expanded beyond the initial assessment for 70% of those organizations. At the same time, an average of 61% identified moderate or significant gaps in how their plans accounted for cloud infrastructure, SaaS applications, identity services, security tooling, third-party integrations, and AI systems. For recovery teams, changes in scope or incomplete dependency information can affect what is restored, in what order, and what must be revisited as the response progresses.

These recovery complications are significant because most plans depend on conditions that may not hold during an actual attack. Across the full sample of surveyed organizations, 93% said their cyber response and recovery plans rely on all five assumptions examined in the research: containment, dependency visibility, recovery sequencing, decision-making clarity, and trusted restoration.

The business side of recovery is rarely formalised and tested

A minimum viable company (MVC) approach helps organizations narrow the scope of recovery to minimise business disruption by defining what must be restored first. While 37% of research participants have formally documented an MVC, only 22% have both documented and tested it. Among that group, 64% said their MVC directly determined what was prioritised and restored first during a material cyber attack. The findings suggest that defining and testing an MVC can influence recovery priorities, but only if organizations operationalise it during an attack.

AI is becoming operational before it becomes recoverable

Recovery priorities must also account for the technologies the business increasingly depends on. The research found that although AI is widely used, it is not yet comprehensively addressed in most recovery plans. AI systems, applications, workflows, or machine learning models are now used by 99% of organizations, yet only 39% say their cyber response and recovery plans comprehensively account for attacks targeting them.

Organizations also reported readiness gaps when responding to AI-related incidents, with 56% saying they are not well prepared to detect, contain, and recover from unintended or incorrect actions taken by AI agents, copilots, or AI workflows. Similarly, confidence in verifying the integrity of AI models and related data following a cyber attack was low, with 58% reporting they were not very confident.

Frontier AI raises the stakes for recovery planning

Organizations expect frontier AI to place further pressure on existing recovery approaches. 83% said their plans would require moderate or significant changes to address attacks involving capabilities such as vulnerability discovery, exploit development, and multi-step intrusions. Only 3% of respondents said their current recovery plans are equipped for those conditions.

Methodology

Cohesity commissioned Vanson Bourne to survey 3,200 IT and security decision-makers at organizations with 1,000 or more employees across Australia, Brazil, France, Germany, India, Japan, Saudi Arabia, Singapore, South Korea, the United Arab Emirates, the United Kingdom, and the United States in July 2026. For the purposes of this research, a material cyber attack was defined as having a measurable financial, reputational, operational, and/or customer churn impact on their organization.

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