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NIST AI RMF

FreeFrameworks & Checklists

The US reference framework for AI risk management: Govern, Map, Measure, Manage.

Last verified 2026-07-18

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tl;dr

  • NIST AI RMF — The US reference framework for AI risk management: Govern, Map, Measure, Manage.
  • Category: Frameworks & Checklists.
  • Covers: NIST AI RMF.
  • Pricing model: Free.

overview

The NIST AI Risk Management Framework (AI RMF 1.0) is the de facto US governance standard, organizing AI risk work into four functions — Govern, Map, Measure, Manage — with a companion Playbook and a Generative AI Profile. It is voluntary but increasingly cited in procurement, enterprise policy, and US federal guidance, and most governance platforms map controls to it.

- Four-function risk structure with subcategories - Generative AI Profile for LLM-specific risks - Crosswalks to ISO 42001 and EU AI Act - Free and publicly available

core features

  • Four-function risk structure with subcategories
  • Generative AI Profile for LLM-specific risks
  • Crosswalks to ISO 42001 and EU AI Act
  • Free and publicly available

target frameworks

NIST AI RMF

pricing

Free

compliance badges

none listed

website

www.nist.gov/itl/ai-risk-management-framework

last verified

2026-07-18

faq

NIST AI RMF — frequently asked questions

What is NIST AI RMF?
The NIST AI Risk Management Framework (AI RMF 1.0) is the de facto US governance standard, organizing AI risk work into four functions — Govern, Map, Measure, Manage — with a companion Playbook and a Generative AI Profile. It is voluntary but increasingly cited in procurement, enterprise policy, and US federal guidance, and most governance platforms map controls to it.
Which compliance frameworks does NIST AI RMF support?
NIST AI RMF addresses NIST AI RMF. Check the vendor site for the latest scope and any region-specific certifications.
How much does NIST AI RMF cost?
NIST AI RMF is free to use. Some advanced features may require a paid plan — check the pricing page for current limits.
Who is NIST AI RMF for?
Teams working on frameworks & checklists — particularly those that need to evidence NIST AI RMF controls.

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