MS-2.7 AI system security and resilience as identified in the MAP function are evaluated and documented
AI system security and resilience – as identified in the MAP function – are evaluated and documented. Security and resilience evaluation addresses the AI-specific attack surface, adversarial input, poisoning, extraction
system holds itEvidence a system already holds
none for this control
periodic reviewEvidence produced at each review
none for this control
governing documentDocuments that govern the control
- Evaluation results for AI-specific security risks, including adversarial input and data poisoning · Document repository
- Resilience testing showing behaviour under unexpected adverse events or environment change · Policy repository / GRC workspace
- Model and data supply chain integrity checks · Document repository
- Documentation of the evaluation traced to the security risks mapping identified · Document repository
First move
Common gaps auditors find
- Conventional application security testing substituted for AI-specific evaluation
- Resilience assessed as infrastructure failover only
- Model extraction and inversion risks not considered
Do this for your whole sheet
Paste the rows you run your controls from and get this mapping for every control at once, with the periodic-review ones flagged and a first move per row. No account for the first run.
Build my evidence sheetMS-2.6 AI system is evaluated regularly for safety risks as identified in the MAP function, is demonstrated to be safe, its residual negative risk does not exceed the risk tolerance, and it can fail safely, particularly if made to operate beyond its knowledge limits · MS-2.8 Risks associated with transparency and accountability as identified in the MAP function are examined and documented