MN-2.1 Resources required to manage AI risks are taken into account, along with viable non-AI alternative systems…
Resources required to manage AI risks are taken into account, along with viable non-AI alternative systems, approaches, or methods – to reduce the magnitude or likelihood of potential impacts. The resource cost of managing the risk is accounted for and non-AI alternatives are genuinely analysed as a way of reducing impact, not noted and dismissed.
Source: NIST AI RMF 1.0, MN-2.1. 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
none for this control
periodic reviewEvidence produced at each review
- Analysis of viable non-AI alternative systems, approaches or methods · Policy repository / GRC workspace
governing documentDocuments that govern the control
- The resources required to manage identified AI risks, accounted for and allocated · Policy repository / GRC workspace
- The trade-offs weighed between trustworthiness characteristics and the alternatives · Policy repository / GRC workspace
- Interdisciplinary input recorded in the alternatives analysis · Policy repository / GRC workspace
First move
Common gaps auditors find
- Non-AI alternatives named in a sentence with no analysis
- Risk management resourced from slack capacity rather than allocated
- Trade-offs decided implicitly by the technical team
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-1.4 Negative residual risks, defined as the sum of all unmitigated risks, to both downstream acquirers of AI… · MN-2.2 Mechanisms are in place and applied to sustain the value of deployed AI systems