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Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsEU AI Act

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to EU AI Act. Pre-computed mappings, identified gaps, and coverage analysis.

62
Controls Mapped
10
Gaps Found
86%
Coverage

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:

NIST AI Risk Management Framework (AI RMF 1.0) maps to EU AI Act with 86% coverage across 62 directly mapped controls. Analysis of 72 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 10 compliance gaps, primarily concentrated in MAP - NIST AI RMF 1.0.

Source: TheArtOfService Knowledge Graph | 72 controls analysed | 1,016 frameworks | 316K+ cross-framework mappings

Control Mappings

Showing 20 of 82 control mappings across 4 domains. Sign up to explore all 316K+ mappings across 1,016 frameworks.

GOVERN - NIST AI RMF 1.0(20 mappings)

AIRMF-GV-1.1Legal and regulatory requirements involving AI are understood, managed, and documented2 targets
→EUAI-Art.11Technical documentation
→EUAI-Art.6Classification rules for high-risk AI systems
AIRMF-GV-1.2The characteristics of trustworthy AI are integrated into organizational policies, processes, and procedures2 targets
→EUAI-Art.14Human oversight
→EUAI-Art.17Quality management system
AIRMF-GV-1.3Processes and procedures are in place to determine the needed level of risk management activities based on the organization's risk tolerance
→EUAI-Art.6Classification rules for high-risk AI systems
AIRMF-GV-1.4The risk management process and its outcomes are established through transparent policies, procedures, and other controls based on organizational risk priorities
→EUAI-Art.9Risk management system
AIRMF-GV-1.5Ongoing monitoring and periodic review of the risk management process and its outcomes are planned, organizational roles and responsibilities are clearly defined, including determining the frequency of periodic review
→EUAI-Art.72Post-market monitoring by providers and post-market monitoring plan for high-risk AI systems
AIRMF-GV-1.6Mechanisms are in place to inventory AI systems and are resourced according to organizational risk priorities
→EUAI-Art.49Registration
AIRMF-GV-1.7Processes and procedures are in place for decommissioning and phasing out of AI systems safely and in a manner that does not increase risks or decrease the organization's trustworthiness
→EUAI-Art.20Corrective actions and duty of information
AIRMF-GV-2.1Roles and responsibilities and lines of communication related to mapping, measuring, and managing AI risks are documented and are clear to individuals and teams throughout the organization2 targets
→EUAI-Art.16-22Obligations of providers of high-risk AI systems and authorised representatives (Arts 16 to 22)
→EUAI-Art.17Quality management system
AIRMF-GV-2.2The organization's personnel and partners receive AI risk management training to enable them to perform their duties and responsibilities consistent with related policies, procedures, and agreements
→EUAI-Art.4AI literacy
AIRMF-GV-2.3Executive leadership of the organization takes responsibility for decisions about risks associated with AI system development and deployment
→EUAI-Art.47EU declaration of conformity
AIRMF-GV-3.2Policies and procedures are in place to define and differentiate roles and responsibilities for human-AI configurations and oversight of AI systems
→EUAI-Art.14Human oversight
AIRMF-GV-4.1Organizational policies and practices are in place to foster a critical thinking and safety-first mindset in the design, development, deployment, and uses of AI systems to minimize negative impacts2 targets
→EUAI-Art.4AI literacy
→EUAI-Art.87Reporting of infringements and protection of reporting persons
AIRMF-GV-4.2Organizational teams document the risks and potential impacts of the AI technology they design, develop, deploy, evaluate and use, and communicate about the impacts more broadly
→EUAI-Art.27Fundamental rights impact assessment for high-risk AI systems
AIRMF-GV-4.3Organizational practices are in place to enable AI testing, identification of incidents, and information sharing
→EUAI-Art.73Reporting of serious incidents
AIRMF-GV-5.1Organizational policies and practices are in place to collect, consider, prioritize, and integrate feedback from those external to the team that developed or deployed the AI system regarding the potential individual and societal impacts related to AI risks
→EUAI-Art.72Post-market monitoring by providers and post-market monitoring plan for high-risk AI systems
AIRMF-GV-5.2Mechanisms are established to enable AI actors to regularly incorporate adjudicated feedback from relevant AI actors into system design and implementation
→EUAI-Art.20Corrective actions and duty of information

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Coverage crosswalk

The NIST AI Risk Management Framework (AI RMF 1.0) 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 NIST AI Risk Management Framework (AI RMF 1.0) 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. NIST AI Risk Management Framework (AI RMF 1.0) into EU AI Act lands at 25.6%, while EU AI Act into NIST AI Risk Management Framework (AI RMF 1.0) lands at 66.7%, 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 NIST AI Risk Management Framework (AI RMF 1.0) evidence buys you for EU AI Act, the other asks the reverse.

NIST AI Risk Management Framework (AI RMF 1.0) into EU AI Act
25.6%

11 of 43 EU AI Act controls are evidenced by work you have already done for NIST AI Risk Management Framework (AI RMF 1.0). 32 are genuine gaps.

EU AI Act into NIST AI Risk Management Framework (AI RMF 1.0)
66.7%

48 of 72 NIST AI Risk Management Framework (AI RMF 1.0) controls are evidenced by work you have already done for EU AI Act. 24 are genuine gaps.

NIST AI Risk Management Framework (AI RMF 1.0) to EU AI Act
$299
per framework pair, one time
  • 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 86% in the header counts how many NIST AI Risk Management Framework (AI RMF 1.0) 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 NIST AI Risk Management Framework (AI RMF 1.0) comparisons

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Other EU AI Act comparisons

ISO/IEC 42001:2023 vs EU AI Act42 mappingsNIST SP 800-53 Rev 5 vs EU AI Act39 mappingsSOC 2 vs EU AI Act33 mappingsISO 27001:2022 vs EU AI Act33 mappingsCloud Security Alliance Cloud Controls Matrix (CCM) v4.0.1 vs EU AI Act29 mappingsGDPR vs EU AI Act21 mappingsNIS2 Directive vs EU AI Act12 mappingsDORA vs EU AI Act11 mappings

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and EU AI Act?

NIST AI Risk Management Framework (AI RMF 1.0) has 72 controls across its framework, while EU AI Act covers 43 controls. Direct mapping analysis identifies 62 overlapping controls (86% coverage). The frameworks diverge most significantly in MAP - NIST AI RMF 1.0, where 4 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct EU AI Act equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and EU AI Act?

Of 72 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 62 map directly to EU AI Act controls, representing 86% coverage. The remaining 10 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping NIST AI Risk Management Framework (AI RMF 1.0) to EU AI Act?

10 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in EU AI Act. The highest concentration of gaps is in MAP - NIST AI RMF 1.0 with 4 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 NIST AI Risk Management Framework (AI RMF 1.0) and EU AI Act?

The domain with the highest gap count is MAP - NIST AI RMF 1.0 (4 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

Related Resources

How to Map Controls Across Frameworks|Multi-Framework Compliance Guide|Compliance Glossary

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.