Cross-Framework Mapping

ISO/IEC 27400:2022vsNIST AI Risk Management Framework (AI RMF 1.0)

See exactly how ISO/IEC 27400:2022 controls map to NIST AI Risk Management Framework (AI RMF 1.0). Pre-computed mappings, identified gaps, and coverage analysis.

19
Controls Mapped
13
Gaps Found
28%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

ISO/IEC 27400:2022 maps to NIST AI Risk Management Framework (AI RMF 1.0) with 28% coverage across 11 directly mapped controls. Analysis of 32 ISO/IEC 27400:2022 controls identifies 31 compliance gaps — primarily concentrated in Clause 8: IoT Lifecycle Security.

Source: TheArtOfService Knowledge Graph | 32 controls analysed | 706 frameworks | 324K+ cross-framework mappings

Control Mappings

Showing 19 of 19 mapped controls across 6 domains. Sign up to explore all 324K+ mappings across 706 frameworks.

Clause 1-4: Introduction and Framework(6 mappings)

27011-1Scope2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MEA-01AI Performance Metrics
27011-3Terms and definitions2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MEA-01AI Performance Metrics
27400-3Terms and definitions2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MEA-01AI Performance Metrics

Clause 5: IoT Risk Sources(3 mappings)

27400-5.4Data and privacy risks3 targets
NIST-AI600-GOV-1Legal and Regulatory Compliance
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MEA-3Privacy Leak Assessment

Device(1 mappings)

27400-6.2Device Identity and Authentication
NIST-AI600-MGT-1Content Provenance Implementation

Clause 6: IoT Security Controls(3 mappings)

27400-6.2Device Identity and Authentication
NIST-AI600-MGT-1Content Provenance Implementation
27400-6.5Security monitoring and incident response2 targets
AIRMF-MAN-03AI Incident Response
NIST-AI600-MGT-4Incident Response for GAI

Network(1 mappings)

27400-7.1Network Security for IoT
NIST-AI600-MGT-5Decommissioning Procedures

Clause 7: IoT Privacy Controls(5 mappings)

27400-7.1Network Security for IoT
NIST-AI600-MGT-5Decommissioning Procedures
27400-7.3Data minimization and purpose limitation3 targets
NIST-AI600-GOV-1Legal and Regulatory Compliance
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MEA-3Privacy Leak Assessment
27400-7.4Data retention and deletion
NIST-AI600-MGT-5Decommissioning Procedures

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What are the key differences between ISO/IEC 27400:2022 and NIST AI Risk Management Framework (AI RMF 1.0)?

ISO/IEC 27400:2022 has 32 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 52 controls. Direct mapping analysis identifies 11 overlapping controls (28% coverage). The frameworks diverge most significantly in Clause 8: IoT Lifecycle Security, where 4 ISO/IEC 27400:2022 controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.

How many controls map between ISO/IEC 27400:2022 and NIST AI Risk Management Framework (AI RMF 1.0)?

Of 32 total ISO/IEC 27400:2022 controls, 11 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 28% coverage. The remaining 31 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping ISO/IEC 27400:2022 to NIST AI Risk Management Framework (AI RMF 1.0)?

31 ISO/IEC 27400:2022 controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in Clause 8: IoT Lifecycle Security 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 ISO/IEC 27400:2022 and NIST AI Risk Management Framework (AI RMF 1.0)?

The domain with the highest gap count is Clause 8: IoT Lifecycle Security (4 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.