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MEASURE-3.2 Risk tracking approaches are considered for settings where AI risks are difficult to assess using currently available measurement techniques or where metrics are not yet available.

NIST AI Risk Management Framework 1.0 · 1.0

NIST AI Risk Management Framework 1.0 states this control in a single sentence, which is the title above — reproduced verbatim from NIST AI Risk Management Framework (AI RMF 1.0).

No cross-framework mapping is seeded for this control. That is stated rather than filled in: a mapping nobody authored is worse than a gap you can see.

These connectors produce data relevant to NIST AI Risk Management Framework 1.0’s MEASURE family, which is the granularity CMDash publishes — there is no pre-built per-control mapping, and claiming one would be inventing it. You decide which evidence answers which control.

Track MEASURE-3.2 with evidence behind it

In CMDash this control is a row with an owner, a status, uploaded evidence kept with its full history, and an export an assessor can read.

MEASURE-3.2 Risk tracking approaches are considered for settings where AI risks are difficult to assess using currently available measurement techniques or where metrics are not yet available. — NIST AI Risk Management Framework 1.0 | CMDash