ISO/IEC 42001:2023vsNIST AI Risk Management Framework (AI RMF 1.0)
See exactly how ISO/IEC 42001:2023 controls map to NIST AI Risk Management Framework (AI RMF 1.0). Pre-computed mappings, identified gaps, and coverage analysis.
A reviewed coverage crosswalk for this pair is available. See which NIST AI Risk Management Framework (AI RMF 1.0) controls you already evidence.
According to the TheArtOfService Compliance Knowledge Graph:
ISO/IEC 42001:2023 maps to NIST AI Risk Management Framework (AI RMF 1.0) with 100% coverage across 38 directly mapped controls. Analysis of 38 ISO/IEC 42001:2023 controls identifies 50 compliance gaps, primarily concentrated in Clause A – ISO/IEC 42001:2023.
Source: TheArtOfService Knowledge Graph | 38 controls analysed | 868 frameworks | 315K+ cross-framework mappings
Control Mappings
Showing 20 of 68 mapped controls across 9 domains. Sign up to explore all 315K+ mappings across 868 frameworks.
Annex A AIMS controls - A.10 Third-party and customer relationships(7 mappings)
Annex A AIMS controls - A.2 Policies related to AI(4 mappings)
Annex A AIMS controls - A.3 Internal organization(3 mappings)
Annex A AIMS controls - A.4 Resources for AI systems(6 mappings)
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The ISO/IEC 42001:2023 to NIST AI Risk Management Framework (AI RMF 1.0) crosswalk
The table above lists candidate mappings. A crosswalk answers the narrower question you are probably here for: which NIST AI Risk Management Framework (AI RMF 1.0) controls your existing ISO/IEC 42001:2023 work already satisfies, which are real gaps, and the reasoning behind every claim so you can check it. One pair, $299, one time.
Coverage does not run both ways. ISO/IEC 42001:2023 into NIST AI Risk Management Framework (AI RMF 1.0) lands at 47.2%, while NIST AI Risk Management Framework (AI RMF 1.0) into ISO/IEC 42001:2023 lands at 78.9%, on the same two control sets. That is not a rounding difference. It is the whole reason these are two separate reports: one asks what your ISO/IEC 42001:2023 evidence buys you for NIST AI Risk Management Framework (AI RMF 1.0), the other asks the reverse.
34 of 72 NIST AI Risk Management Framework (AI RMF 1.0) controls are evidenced by work you have already done for ISO/IEC 42001:2023. 38 are genuine gaps.
30 of 38 ISO/IEC 42001:2023 controls are evidenced by work you have already done for NIST AI Risk Management Framework (AI RMF 1.0). 8 are genuine gaps.
- Every evidenced control, with the reasoning behind it
- Every gap, with what it requires
- Its level of review stated plainly, not a bare number
Why this page shows two different percentages. The 100% in the header counts how many ISO/IEC 42001:2023 controls carry at least one candidate mapping in the graph, before any review. The crosswalk percentage counts something stricter: how many NIST AI Risk Management Framework (AI RMF 1.0) controls are actually evidenced, after a pass that argued against each mapping and kept only what survived. They answer different questions and they are not meant to agree.
A crosswalk narrows the work. It does not replace an audit, and your assessor may take a different view on individual controls. Mappings between frameworks are judgements, not text printed in either standard, which is why every claim in the report shows its reasoning. Questions go to support@theartofservice.com.
Related Comparisons
Other ISO/IEC 42001:2023 comparisons
Other NIST AI Risk Management Framework (AI RMF 1.0) comparisons
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What are the key differences between ISO/IEC 42001:2023 and NIST AI Risk Management Framework (AI RMF 1.0)?
ISO/IEC 42001:2023 has 38 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 72 controls. Direct mapping analysis identifies 38 overlapping controls (100% coverage). The frameworks diverge most significantly in Clause A – ISO/IEC 42001:2023, where 9 ISO/IEC 42001:2023 controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.
How many controls map between ISO/IEC 42001:2023 and NIST AI Risk Management Framework (AI RMF 1.0)?
Of 38 total ISO/IEC 42001:2023 controls, 38 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls, representing 100% coverage. The remaining 50 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.
What are the compliance gaps when mapping ISO/IEC 42001:2023 to NIST AI Risk Management Framework (AI RMF 1.0)?
50 ISO/IEC 42001:2023 controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in Clause A – ISO/IEC 42001:2023 with 9 unmapped controls. These gaps represent areas where additional controls, policies, or documentation must be created to achieve compliance with both frameworks.
Which control domains have the most gaps between ISO/IEC 42001:2023 and NIST AI Risk Management Framework (AI RMF 1.0)?
The domain with the highest gap count is Clause A – ISO/IEC 42001:2023 (9 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.
Related Resources
This platform provides educational compliance tools, not legal, regulatory, or professional compliance advice. Cross-framework mappings are AI-assisted interpretations and do not reproduce or replace official standards. Framework names and trademarks belong to their respective owners. Consult qualified professionals for your specific compliance requirements. See our Terms of Service.