Keepit has published the results of a recent survey entitled ‘Peer insights on AI adoption and the disaster recovery gap’. Even though SaaS data protection is seen as a high priority when implementing AI solutions, the survey of senior IT decision-makers revealed a gap between perceived readiness and tested, validated disaster recovery capability.
Key findings include:
- 94% of respondents say they’re confident their current disaster recovery plan covers scenarios involving agentic AI systems.
- 33% of IT and security leaders say they have only partial control over the use of agentic AI in their organizations.
- 56% of respondents place a high priority on protecting SaaS data and disaster recovery when implementing AI solutions.
- Only 41% of respondents have significantly changed their approach to disaster recovery planning due to accelerated AI adoption.
- 32% of respondents conduct monthly testing of disaster recovery plans.
According to the survey, 94% of respondents say they are confident their disaster recovery plans cover agentic AI systems, yet only 32% test those plans on a monthly basis. This gap between confidence and validation raises concerns about the true ability of organizations to recover when failures occur – especially as AI-driven automation increases system interdependencies and accelerates the spread of errors.
