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AI risk, backed by the same evidence

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.

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What NISTcompliance.ai does

AI systems on the same evidence base

ONE RECORD

Next to your security program

AI risk evidence in the same record as your FISMA, FedRAMP or CMMC controls.

Platform →
ASSESS

Assessor workspace

Evidence and history your assessor can trace, with access you control.

Assessor workspace →
MONITOR

Continuous monitoring

Evidence collected on a schedule and mapped to your controls, so the record never goes stale between assessments.

Continuous monitoring →
Functions

Four functions

GOVERN

Govern

A cross-cutting function that informs and runs through the other three.

MAP

Map

Establishes the context to frame risks related to an AI system.

MEASURE

Measure

Analyzes, assesses and tracks AI risks and their impacts.

MANAGE

Manage

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.

Trustworthy AI

Seven characteristics to evidence

01

Valid and reliable

The system does what it is meant to, consistently.

02

Safe

It does not endanger people, property or the environment.

03

Secure and resilient

It withstands attack and recovers from disruption.

04

Accountable and transparent

People can see how it works and who answers for it.

05

Explainable and interpretable

Its outputs can be understood in context.

06

Privacy-enhanced

It protects personal information by design.

07

Fair, with harmful bias managed

Bias is identified, measured and managed.

Sources: NIST AI 100-1. Sources checked Oct 23, 2026. Not a substitute for the official text.

Companion work

What NIST has added since 1.0

AI 600-1FACT

Generative AI Profile

A cross-sectoral profile of the AI RMF for generative AI, released July 26, 2024.

AI 100-2 E2025FACT

Adversarial machine learning

A taxonomy and terminology for adversarial machine learning, final March 24, 2025.

IR 8596FACT

Cyber AI Profile

A preliminary draft released December 16, 2025. No later draft has been published as of October 2026.

AI RMF 1.0FACT

Under revision

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.

OMB AI policy

Using AI: OMB M-25-21

Issued April 3, 2025. Rescinds and replaces M-24-10.

M-25-21MUST

Chief AI Officer

Agencies designate a Chief AI Officer.

M-25-21MUST

AI strategy

CFO Act agencies publish an AI strategy within 180 days, by Sep 30, 2025.

M-25-21MUST

Use case inventory

Agencies inventory their AI use cases at least annually. DoD and the Intelligence Community are excepted.

M-25-21MUST

High-impact AI

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.

OMB M-25-22 and M-26-04

Buying AI: OMB M-25-22 and M-26-04

M-25-22MUST

Protect agency data

Contracts permanently prohibit using nonpublic agency inputs and outputs to train publicly or commercially available AI, absent explicit agency consent.

M-25-22MUST

Avoid lock-in

Acquisitions protect government data and IP rights and guard against vendor lock-in.

M-25-22FACT

When it applies

Applies to contracts awarded under solicitations issued, and options exercised, 180 or more days after April 3, 2025.

M-26-04MUST

Unbiased AI principles

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.

Questions

Common questions

Is the NIST AI RMF mandatory?

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.

Is AI RMF 1.0 still current?

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.

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Govern AI with evidence

We will show how your existing evidence base supports your AI risk work.