AI risks and benefits from third-party resources are regularly monitored, and risk controls are applied and documented. Third-party data, model, software and hardware dependencies are monitored on an ongoing basis, not assessed once at procurement, and the controls applied are recorded.
NIST AI Risk Management Framework (AI RMF 1.0) AIRMF-MN-3.1 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.