MN-3.1 AI risks and benefits from third-party resources are regularly monitored, and risk controls are applied and…
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.
Source: NIST AI RMF 1.0, MN-3.1. The statement above is our statement of the clause, read from the published text and cited so you can check it against the official text, not the instrument verbatim. Open NIST AI RMF 1.0 in the compliance library.
These are the artefacts auditors commonly ask for on this requirement, our guidance rather than text from the standard. Your assessor decides what is sufficient in your context, and asks for samples across the period when a report covers one.
system holds itEvidence a system already holds
- Monitoring records showing regular review of those dependencies · SIEM / log platform
periodic reviewEvidence produced at each review
- The risk controls applied to each and evidence they are in place · Vendor register / contract repository
governing documentDocuments that govern the control
- The inventory of third-party resources the AI system depends on · Vendor register / contract repository
- The route by which a third-party change reaches the risk owner · Vendor register / contract repository
First move
Common gaps auditors find
- Third parties assessed at onboarding and not monitored afterwards
- Model or API version changes by the provider go unnoticed
- Controls documented in the contract with no operational evidence
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 sheetMN-2.4 Mechanisms are in place and applied, and responsibilities are assigned and understood, to supersede… · MN-3.2 Pre-trained models which are used for development are monitored as part of AI system regular monitoring and…