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MEASURE-2.3 AI system performance or assurance criteria are measured qualitatively or quantitatively and demonstrated for conditions similar to deployment setting(s). Measures are documented.

NIST AI Risk Management Framework 1.0 · 1.0

AI system performance or assurance criteria are measured qualitatively or quantitatively and demonstrated for conditions similar to deployment setting(s). measures are documented.

Quoted verbatim from NIST AI Risk Management Framework (AI RMF 1.0), which is in the public domain.

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-2.3 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-2.3 AI system performance or assurance criteria are measured qualitatively or quantitatively and demonstrated for conditions similar to deployment setting(s). Measures are documented. — NIST AI Risk Management Framework 1.0 | CMDash