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 and supply chain, and records whether the system degrades gracefully.
NIST AI Risk Management Framework (AI RMF 1.0) AIRMF-MS-2.7 is one control. If you already hold one of the frameworks below, a reviewed crosswalk already says how much of NIST AI Risk Management Framework (AI RMF 1.0) your existing evidence covers. Hold EU AI Act and 48 of 72 NIST AI Risk Management Framework (AI RMF 1.0) controls already carry evidence.
Each report names every control your existing framework evidences, every one it does not, the reasoning behind each claim, and the claims that were argued against and rejected. 10 were rejected on the EU AI Act pair alone.
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.