Survey Reveals AI Disaster Recovery Confidence Gap Among IT Leaders
Event summary
- 94% of IT decision-makers claim confidence in disaster recovery plans for agentic AI, but only 32% test them monthly.
- 33% of IT leaders report only partial control over agentic AI usage in their organizations.
- 56% prioritize SaaS data protection and disaster recovery when implementing AI solutions.
- Survey conducted among 301 IT decision-makers across six countries from November to December 2025.
The big picture
The survey highlights a critical disconnect between perceived AI readiness and actual disaster recovery capabilities. As AI-driven automation increases system interdependencies, organizations face growing risks from untested recovery plans. This gap raises concerns about operational resilience, particularly for smaller organizations with less mature recovery practices. The findings underscore the need for structured, regularly tested disaster recovery plans that prioritize data governance and accountability.
What we're watching
- Governance Dynamics
- How organizations will evolve governance frameworks to match AI adoption pace.
- Testing Frequency
- Whether monthly disaster recovery testing becomes an industry standard.
- Identity Protection
- The pace at which identity systems recovery practices mature.
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