ISO/IEC 42001:2023vsEU AI Act
See exactly how ISO/IEC 42001:2023 controls map to EU AI Act. Pre-computed mappings, identified gaps, and coverage analysis.
A reviewed coverage crosswalk for this pair is available. See which EU AI Act controls you already evidence.
According to the TheArtOfService Compliance Knowledge Graph:
ISO/IEC 42001:2023 maps to EU AI Act with 100% coverage across 38 directly mapped controls. Analysis of 38 ISO/IEC 42001:2023 controls identifies 45 compliance gaps, primarily concentrated in Clause A – ISO/IEC 42001:2023.
Source: TheArtOfService Knowledge Graph | 38 controls analysed | 686 frameworks | 309K+ cross-framework mappings
Control Mappings
Showing 20 of 112 mapped controls across 9 domains. Sign up to explore all 309K+ mappings across 686 frameworks.
Annex A AIMS controls - A.10 Third-party and customer relationships(10 mappings)
Annex A AIMS controls - A.2 Policies related to AI(5 mappings)
Annex A AIMS controls - A.3 Internal organization(4 mappings)
Annex A AIMS controls - A.4 Resources for AI systems(1 mappings)
+92 more mappings
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The ISO/IEC 42001:2023 to EU AI Act crosswalk
The table above lists candidate mappings. A crosswalk answers the narrower question you are probably here for: which EU AI Act 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 EU AI Act lands at 39.5%, while EU AI Act into ISO/IEC 42001:2023 lands at 57.9%, 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 EU AI Act, the other asks the reverse.
17 of 43 EU AI Act controls are evidenced by work you have already done for ISO/IEC 42001:2023. 26 are genuine gaps.
A sample of what the report says
Quality requirements for data are defined, documented and verified as met.
Grounded in iso-iec-42001-2023::A.7.4 Quality of data for AI systems. Confidence high, survived the refutation pass.
High-risk AI systems shall be designed and developed in such a way that they can be effectively overseen by natural persons during the period in which they are in use. Oversight measures shall enable persons to understand the relevant...
Every one of the 17 evidenced controls and 26 gaps in the report carries this much reasoning, so you can check the claim rather than take it on trust.
22 of 38 ISO/IEC 42001:2023 controls are evidenced by work you have already done for EU AI Act. 16 are genuine gaps.
A sample of what the report says
Allocates provider, deployer, importer and distributor responsibilities across the AI value chain.
Grounded in EUAI-Art.25 Responsibilities along the AI value chain. Confidence high, survived the refutation pass.
Establish a process ensuring that the organization's use of services, products or materials provided by suppliers aligns with its approach to the responsible development and use of AI systems.
Every one of the 22 evidenced controls and 16 gaps in the report carries this much reasoning, so you can check the claim rather than take it on trust.
- 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 EU AI Act 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 EU AI Act comparisons
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What are the key differences between ISO/IEC 42001:2023 and EU AI Act?
ISO/IEC 42001:2023 has 38 controls across its framework, while EU AI Act covers 43 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 EU AI Act equivalent.
How many controls map between ISO/IEC 42001:2023 and EU AI Act?
Of 38 total ISO/IEC 42001:2023 controls, 38 map directly to EU AI Act controls, representing 100% coverage. The remaining 45 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 EU AI Act?
45 ISO/IEC 42001:2023 controls have no direct equivalent in EU AI Act. 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 EU AI Act?
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.