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AI can help attackers scale or accelerate parts of cyber activity, but current evidence does not show that every attack now moves at “machine speed” or that most organizations have inadequate recovery plans. The practical response is to make recovery a tested operational capability: know who activates it, how affected systems are isolated, which clean copies can be restored, and what must come back online first.
What the latest breach figure does—and doesn’t—show
IBM’s 2026 Cost of a Data Breach study reported that one in four malicious breaches in its study were AI-enabled, with an average cost of $6 million for those breaches. Ponemon Institute conducted the study, which IBM sponsored and analyzed. Its evidence window ran from March 2025 through February 2026 and covered breaches experienced by 602 organizations globally. These are study findings, not a census or universal rate for all organizations or cyberattacks. IBM’s study announcement
The finding is a reason to account for AI-enabled activity in risk planning, not proof that all attackers operate at machine speed. The sources do not provide a universal, apples-to-apples measure of attacker action time versus organizational recovery time. Nor do they establish what share of organizations have untested or inadequate recovery plans. IBM vice president Suja Viswesan said, “The priority now is to eliminate that lag—building remediation into development workflows, securing identity at runtime, and fixing risks at the speed attackers are already moving.” That is an executive’s view, not an independent standard or regulator finding.
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Use current guidance to assess ransomware readiness
NIST published its final Ransomware Risk Management profile, IR 8374r1, on June 11, 2026. It is intended to help organizations assess defenses and prioritize resilience improvements, making it a useful current anchor for ransomware risk management and recovery planning.
Recovery is more than prevention or detection. A plan needs to describe how the organization will restore operations after disruption, and how that work connects to incident response. Use the profile to identify gaps and prioritize actions rather than treating a completed assessment as proof that recovery will work.
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Build a recovery plan around operational decisions
Write down the decisions and dependencies responders will face during an incident. The plan should be usable by the people responsible for security, IT operations, continuity, communications, and affected business or production functions.
- Set activation and authority. Name who can initiate recovery, who can authorize isolation or restoration decisions, and how recovery relates to the incident-response process.
- Contain affected systems. Define how responders will isolate impacted systems and coordinate that work with teams responsible for business operations. Avoid restoring a system before responders have assessed whether it is safe to reconnect.
- Choose and restore clean copies. Identify backup copies and the process for determining whether they are suitable for restoration. Copies that can be disconnected from the network can reduce exposure to network-level compromise, but separation alone does not establish that a copy is clean, protected, or restorable. IBM describes hard drives and other devices that IT can disconnect from the network as examples of backup and disaster-recovery copies in its ransomware guidance.
- Set restoration order. Document which systems and dependencies must be recovered first, who validates them, and how the organization will resume operations. Include communications and business dependencies in the sequence, not just technical infrastructure.
- Test the procedures. Exercise the restore process so teams can find gaps in access, dependencies, decision-making, and recovery steps before an incident. A backup is useful only if the organization can restore from it in the conditions its plan assumes.
Account for AI systems and operational technology
Restoring an AI-enabled system may involve dependencies beyond its application or model, so identify what the system relies on and what restoration entails. NIST’s Cybersecurity Framework Profile for Artificial Intelligence is an initial public draft; it discusses additional considerations for AI-related recovery, but should not be presented as final normative guidance.
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For manufacturing and other operational technology environments, recovery choices can affect production and safety as well as information systems. Connect restoration decisions to operational and safety responsibilities. NIST’s SP 1800-41 manufacturing-sector practice guide is also an initial public draft, rather than established final guidance.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Recovery-readiness checklist
- A named person or role can activate recovery and coordinate it with incident response.
- Responders know how to isolate affected systems and who approves restoration and reconnection.
- Recovery copies, including any disconnected copies, are protected and their restore process is tested.
- The plan identifies restoration order, system dependencies, validation responsibilities, and communications needs.
- AI-system dependencies and operational or safety consequences are included where relevant.
- Exercises test the actual recovery procedures and expose gaps that can be assigned and prioritized.
If the recovery design calls for disconnected backup media, an external hard drive may be one component; the choice depends on the organization’s recovery requirements and procedures. A drive by itself does not provide enterprise-grade resilience or prove recoverability.
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