MN-2.4 Mechanisms are in place and applied, and responsibilities are assigned and understood, to supersede…
Mechanisms are in place and applied, responsibilities are assigned and understood to supersede, disengage, or deactivate AI systems that demonstrate performance or outcomes inconsistent with intended use. The ability to bypass, disengage or deactivate the system exists technically, is assigned to an understood role, and has been demonstrated to work.
Source: NIST AI RMF 1.0, MN-2.4. 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
none for this control
periodic reviewEvidence produced at each review
- The role assigned to invoke it and evidence that role understands the duty · Identity provider / directory
- Test or exercise evidence that disengagement works and the fallback holds · Policy repository / GRC workspace
governing documentDocuments that govern the control
- The technical mechanism to supersede, disengage or deactivate the system · Policy repository / GRC workspace
- The criteria that trigger disengagement · Policy repository / GRC workspace
First move
Common gaps auditors find
- Kill switch assumed to exist but never tested
- Deactivation requires a change release, so it cannot be invoked at the speed the risk demands
- Authority to disengage held by someone with a competing delivery incentive
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-2.3 Procedures are followed to respond to and recover from a previously unknown risk when it is identified · MN-3.1 AI risks and benefits from third-party resources are regularly monitored, and risk controls are applied and…