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.

13
Controls Mapped
39
Gaps Found
19%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to EU AI Act with 19% coverage across 10 directly mapped controls. Analysis of 52 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 42 compliance gaps — primarily concentrated in Measure.

Source: TheArtOfService Knowledge Graph | 52 controls analysed | 726 frameworks | 455K+ cross-framework mappings

Control Mappings

Showing 13 of 13 mapped controls across 4 domains. Sign up to explore all 455K+ mappings across 726 frameworks.

Govern(2 mappings)

AIRMF-GV-1.2Trustworthy AI characteristics are integrated into organisational policies, processes, and procedures
EUAI-Art.14Human oversight
AIRMF-GV-2.1Roles and responsibilities related to AI risk management are documented and clear
EUAI-Art.16-22Obligations of providers of high-risk AI systems and authorised representatives

Manage(6 mappings)

AIRMF-MN-1.1AI risks are prioritised and resources are allocated to manage them2 targets
EUAI-Art.55Obligations of providers of GPAI models with systemic risk
EUAI-Art.9Risk management system
AIRMF-MN-2.1Mechanisms for tracking identified risks over time are in place2 targets
EUAI-Art.72-73Post-market monitoring and reporting of serious incidents
EUAI-Art.9Risk management system
AIRMF-MN-4.1AI risk management documentation and processes are improved continuously
EUAI-Art.11Technical documentation
AIRMF-MN-4.3Incidents and errors are communicated to relevant AI actors
EUAI-Art.72-73Post-market monitoring and reporting of serious incidents

Map(2 mappings)

AIRMF-MP-1.1Context of AI system use is established and understood
EUAI-Art.10Data and data governance
AIRMF-MP-5.1Risks and benefits are characterised for components, including third party components
EUAI-Art.27Fundamental rights impact assessment for high-risk AI systems

Measure(3 mappings)

AIRMF-MS-2.7AI system security and resilience are evaluated2 targets
EUAI-Art.15Accuracy, robustness and cybersecurity
EUAI-Art.55Obligations of providers of GPAI models with systemic risk
AIRMF-MS-2.8AI system explainability and interpretability are evaluated
EUAI-Art.13Transparency and provision of information to deployers

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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 52 controls across its framework, while EU AI Act covers 36 controls. Direct mapping analysis identifies 10 overlapping controls (19% coverage). The frameworks diverge most significantly in Measure, where 12 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 52 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 10 map directly to EU AI Act controls — representing 19% coverage. The remaining 42 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?

42 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 Measure with 12 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 Measure (12 gaps). Export the full domain-by-domain gap breakdown via the Professional tier to generate a prioritised remediation roadmap.

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.