Next to your security program
AI risk evidence in the same record as your FISMA, FedRAMP or CMMC controls.
Platform →The NIST AI Risk Management Framework asks organizations to govern, map, measure and manage AI risk, and OMB's 2025 memos set how agencies use and buy AI. NISTcompliance.ai keeps the security evidence behind your AI systems in the same evidence base as your FISMA, FedRAMP or CMMC work.
AI risk evidence in the same record as your FISMA, FedRAMP or CMMC controls.
Platform →Evidence and history your assessor can trace, with access you control.
Assessor workspace →Evidence collected on a schedule and mapped to your controls, so the record never goes stale between assessments.
Continuous monitoring →A cross-cutting function that informs and runs through the other three.
Establishes the context to frame risks related to an AI system.
Analyzes, assesses and tracks AI risks and their impacts.
Allocates resources to mapped and measured risks on a regular basis.
Sources: NIST AI 100-1. Sources checked Oct 23, 2026. Not a substitute for the official text.
The system does what it is meant to, consistently.
It does not endanger people, property or the environment.
It withstands attack and recovers from disruption.
People can see how it works and who answers for it.
Its outputs can be understood in context.
It protects personal information by design.
Bias is identified, measured and managed.
Sources: NIST AI 100-1. Sources checked Oct 23, 2026. Not a substitute for the official text.
A cross-sectoral profile of the AI RMF for generative AI, released July 26, 2024.
A taxonomy and terminology for adversarial machine learning, final March 24, 2025.
A preliminary draft released December 16, 2025. No later draft has been published as of October 2026.
NIST states AI RMF 1.0 is being revised as part of the White House AI Action Plan.
Sources: NIST AI 600-1, NIST AI 100-2 E2025, NIST IR 8596 draft, NIST AI RMF. Sources checked Oct 23, 2026. Not a substitute for the official text.
Issued April 3, 2025. Rescinds and replaces M-24-10.
Agencies designate a Chief AI Officer.
CFO Act agencies publish an AI strategy within 180 days, by Sep 30, 2025.
Agencies inventory their AI use cases at least annually. DoD and the Intelligence Community are excepted.
Agencies document implementation of minimum practices for high-impact AI within 365 days, by Apr 3, 2026.
Sources: OMB M-25-21. Sources checked Oct 23, 2026. Not a substitute for the official text.
Contracts permanently prohibit using nonpublic agency inputs and outputs to train publicly or commercially available AI, absent explicit agency consent.
Acquisitions protect government data and IP rights and guard against vendor lock-in.
Applies to contracts awarded under solicitations issued, and options exercised, 180 or more days after April 3, 2025.
Issued December 11, 2025, it sets contract terms for large language model procurement in new solicitations.
Sources: OMB M-25-22, OMB M-26-04. Sources checked Oct 23, 2026. Not a substitute for the official text.
No. NIST released the AI RMF for voluntary use. Federal agencies follow OMB M-25-21 for their use of AI, including minimum practices for high-impact AI, and M-25-22 for acquiring it.
Yes. AI RMF 1.0 remains the current version, and NIST states it is being revised as part of the White House AI Action Plan. The Generative AI Profile, NIST AI 600-1, was released July 26, 2024.
We will show how your existing evidence base supports your AI risk work.