NIST AI RMF
FRAMEWORK · NIST AI RMF

NIST AI RMF: four functions, one profile

The NIST AI Risk Management Framework is a voluntary US framework for managing AI risk across four functions: Govern, Map, Measure and Manage. No EU law refers to it; no certification exists.

Last reviewed · against the consolidated text and Commission guidance

72
subcategories in the catalogue
12
programme steps, each producing a record
4
gate-locked phases
4
steps answered per AI system
Legal basis
NIST AI 100-1
Published by
US National Institute of Standards and Technology
Status
Voluntary · no certification exists
WHO IT APPLIES TO

Who adopts NIST AI RMF

Nobody has to adopt it. These are the organisations already being asked the question it answers.

Organisations selling into the US

Federal procurement and many enterprise buyers ask how AI risk is managed in NIST terms; a profile is the answer they recognise.

Teams that need a risk vocabulary

Map and Measure give you a shared way to name purpose, context, impacts and metrics before you build a management system.

Providers of high-risk AI in the EU

Art. 9 asks for a risk management system across the lifecycle. The framework organises it; nothing in it replaces the Act's own duties.

KEY DATES · STATUS

The dates that matter

Nobody certifies the NIST AI RMF: no scheme exists, and Veritome never implies one. The output is a profile document.

DateEventWhat it means
26.01.2023AI RMF 1.0 releasedNIST AI 100-1, with the companion Playbook. Voluntary from the first page.
26.07.2024Generative AI ProfileNIST AI 600-1 applies the same four functions to generative AI risks.
02.12.2027EU AI Act Annex IIIMost Annex III high-risk duties apply. The framework organises Art. 9 risk management but gives no presumption of conformity.
WHAT IT ASKS

72 requirements, in the shape the framework gives them

The Core is four functions, split into categories and subcategories. NIST publications are public domain, so Veritome paraphrases every subcategory and each step names the ranges it closes.

  • Govern: policies, roles, culture and third-party handling.
  • Map: context, purpose, capabilities and impacts.
  • Measure: metrics and trustworthiness evaluation.
  • Manage: prioritise, respond and learn.
19
Govern subcategories
18
Map subcategories
22
Measure subcategories
13
Manage subcategories
  • GOVERN6 categories19
  • MAP5 categories18
  • MEASURE4 categories22
  • MANAGE4 categories13
HOW VERITOME RUNS IT

12 steps, 4 phases, one record each

4 phases, one per function, gate-locked in order: 12 steps in all.

  • 4 steps (the Map steps and the trustworthiness evaluation) are answered per AI system; the rest once for the organisation.
  • They reuse what the EU AI Act journey already recorded about purpose, context and risk.
  • The last step assembles the AI RMF profile, the framework's own output, as a generated PDF.
01

Govern

3 steps
  1. Policies, accountability and risk tolerance
  2. Roles, workforce and culture
  3. Third-party risk and stakeholder engagement
02

Map

3 steps
  1. Context and intended purpose
    Per system
  2. Categorisation, capabilities and benefits
    Per system
  3. Risks and impacts to individuals and society
    Per system
03

Measure

3 steps
  1. Metrics and evaluation approach
  2. Trustworthiness evaluation
    Per system
  3. Risk tracking and context-based performance feedback
04

Manage

3 steps
  1. Risk prioritisation and response
  2. Third-party risk management
  3. Incident response, learning and the AI RMF profile
NIST AI RMFNIST AI RMF programme
12 steps · 4 phases · one record each
01Govern
3 steps · Complete
02Map
3 steps · In progress
03Measure
3 steps · Locked
04Manage
3 steps · Locked
Map · the steps
  1. 01Context and intended purposePer systemDone
  2. 02Categorisation, capabilities and benefitsPer systemIn progress
  3. 03Risks and impacts to individuals and societyPer systemTo do
Phases and steps as the product generates them · progress shown is illustrative
WHERE IT OVERLAPS

Credited in both, or only related

No NIST step is credited against another framework: it sets outcomes, not clauses. Related links to the EU AI Act and ISO/IEC 42001 are shown in the drawer, never counted.

NIST AI RMFGovernGOVERN 1.1–1.7
Policies, accountability and risk toleranceDone
Credited in no other programme: every link below is shown, never counted.
Across the programme
ISO 4200123 related
EU AI Act21 related
ISO 270017 related
GDPR4 related
Related work, shown and never counted
Illustrative progress · the steps and counts are the product’s

ISO/IEC 42001, ISO/IEC 27001 and NIST AI RMF cross-mapping lands with the full launch, planned for late November 2026.

12 of the 12 steps carry a related link to an EU AI Act article. A related link was not checked against source text by the owner's verified matrix, so it is shown and never counted. Credit shows in three places only:

  • “Also counts toward” on a record
  • “Credited by work already on file” on a step that is Done
  • one figure on each programme card

See all three on the frameworks page, and the EU AI Act article by article at /eu-ai-act.

WithRecords credited in bothRelated only: shown, never creditedPage
EU AI Act021EU AI Act →
GDPR04GDPR →
ISO 42001023ISO 42001 →
ISO 2700107ISO 27001 →
QUESTIONS PEOPLE ASK

NIST AI RMF, answered plainly

The same answers, word for word, that the page marks up for search engines and AI assistants.

What is the NIST AI RMF?

A voluntary framework for managing the risks of AI systems, published by the US National Institute of Standards and Technology in January 2023. Its Core has four functions (Govern, Map, Measure, Manage) with categories and subcategories describing outcomes; a companion Playbook suggests how to reach them.

Is there a NIST AI RMF certification?

No. No certification scheme exists and NIST does not accredit one; a 'NIST AI RMF certificate' is someone's own badge. The framework's output is a profile: how your organisation applies the functions to its AI. Veritome generates that profile and never calls it a certificate.

Does the NIST AI RMF satisfy the EU AI Act?

No. It is a voluntary US framework the Act does not refer to; it is not a harmonised standard and gives no presumption of conformity. The overlap is real: Art. 9 risk management, Art. 10 data governance and Art. 72 post-market monitoring cover the ground of Map, Measure and Manage. Veritome shows those as related links, never credit.

What is an AI RMF profile?

A description of how an organisation implements the functions for a given context: its current state, its target and the gap. NIST publishes companion profiles such as the Generative AI Profile (NIST AI 600-1). In Veritome the profile is the programme's last step, assembled from the 12 records into a PDF.

How is the NIST AI RMF different from ISO/IEC 42001?

ISO/IEC 42001 is a certifiable management-system standard with auditable clauses; the NIST AI RMF is a voluntary framework of outcomes with no certification. Many organisations use the RMF's vocabulary inside an ISO/IEC 42001 system: Map and Measure read naturally as the AI risk and impact assessments the standard requires.

How does Veritome run the NIST AI RMF?

As 12 steps across the four functions, 4 of them per AI system and the rest once for the organisation, closing all 72 subcategories. It ends in a generated profile PDF. Programmes come with a workspace; the free check first shows which EU AI Act and GDPR duties a system carries.

The other four