AI governance with the NIST AI RMF and ISO/IEC 42001

If your products or your work for agencies use AI, we set up the governance agencies ask about. We build a risk process on the NIST AI RMF and, if you want certification, an ISO/IEC 42001 management system.

A voluntary framework and a certifiable standard

The NIST AI RMF and ISO/IEC 42001 compared
FrameworkWhat it isAssessed byResult
NIST AI RMF 1.0A voluntary framework, NIST AI 100-1, with four functions: Govern, Map, Measure and Manage. Govern runs through the other three. NIST is revising it.No one. You apply it and keep the record.Your own risk documentation, which a customer or agency can review.
ISO/IEC 42001:2023A management system standard for organizations that develop, provide or use AI.An independent certification body; ISO itself certifies no one. ISO/IEC 42006 sets the rules those bodies follow. We prepare you for the audit.A certificate.

Sources: NIST AI Risk Management Framework (opens in a new tab) and ISO/IEC 42001:2023 (opens in a new tab).

The AI RMF, category by category

The framework’s four functions hold 19 categories and 72 subcategories. They describe the outcomes an AI program works toward. Select a category to read it.

NIST AI RMF 1.0: 19 categories, 72 subcategoriesNIST AI 100-1

Govern

19

Map

18

Measure

22

Manage

13

Measure · Table 3

MEASURE 2

AI systems are evaluated for trustworthy characteristics.

13 subcategories

Categories quoted from NIST AI 100-1 (January 2023), Tables 1 to 4. Govern applies across the other three functions. NIST is revising the framework and has not published a new version.

From NIST AI 100-1 (opens in a new tab), Tables 1 to 4.

What agencies ask vendors for

No federal rule requires contractors in general to follow the AI RMF. OMB’s memos direct agencies, and their requirements reach vendors through solicitations and contracts. GSA has drafted a clause that would ask for documentation consistent with the AI RMF; it is not final.

Large language models

When agencies solicit large language models, OMB M-26-04 requires them to ask for an acceptable use policy, model, system or data cards, resources for end users and a way for those users to give feedback.

High-impact uses

Under OMB M-25-22, contracts for high-impact AI must ensure the minimum risk management practices, and vendors must give agencies the access and time to evaluate the system independently.

How we set up AI governance

AI inventory

We list the models and AI features you build, buy or run, with what each is for, the data it uses and whether an agency could treat it as high-impact.

Risk process

We write the policies and roles first (Govern), then work through each system: what it is for and where it runs (Map), the tests it needs (Measure) and what you do about each risk (Manage).

AI risk register
Risks, tests, owners and the decisions taken, system by system.

Management system

For ISO/IEC 42001 we set up the scope, AI policy, risk and impact assessments, the Annex A controls you select, internal audit and management review, ready for a certification body.

Vendor documentation

The acceptable use policy and the model and system cards agencies ask for, written from how the system works.