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NIST and AI Safety - Footnote 17

partial85% confidence

1 evidence check

Last checked: 4/3/2026

The source does not mention that the guidance was updated in 2025. It states that the framework was initiated in 2021 and released in January 2023. The claim mentions that the updated guidance expanded the framework to address supply chain vulnerabilities, model provenance, data integrity, and third-party risks. While the source mentions data integrity, it does not explicitly mention supply chain vulnerabilities, model provenance, or third-party risks. The claim mentions the introduction of maturity model guidance for measuring organizational AI risk management capabilities. This is not explicitly mentioned in the source.

Evidence — 1 source, 1 check

partial85%Haiku 4.5 · 4/3/2026
Found: At its core, the AI RMF is built on four functions: Govern, Map, Measure, and Manage, providing a systematic approach to improving the robustness and reliability of AI systems. Updated guidance releas

Note: The source does not mention that the guidance was updated in 2025. It states that the framework was initiated in 2021 and released in January 2023. The claim mentions that the updated guidance expanded the framework to address supply chain vulnerabilities, model provenance, data integrity, and third-party risks. While the source mentions data integrity, it does not explicitly mention supply chain vulnerabilities, model provenance, or third-party risks. The claim mentions the introduction of maturity model guidance for measuring organizational AI risk management capabilities. This is not explicitly mentioned in the source.

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Record type: citation

Record ID: page:nist-ai:fn17