Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsIEEE 7000

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to IEEE 7000. Pre-computed mappings, identified gaps, and coverage analysis.

26
Controls Mapped
26
Gaps Found
21%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to IEEE 7000 with 21% coverage across 11 directly mapped controls. Analysis of 52 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 41 compliance gaps — primarily concentrated in Measure.

Source: TheArtOfService Knowledge Graph | 52 controls analysed | 719 frameworks | 428K+ cross-framework mappings

Control Mappings

Showing 20 of 26 mapped controls across 4 domains. Sign up to explore all 428K+ mappings across 719 frameworks.

Govern(13 mappings)

AIRMF-GOV-01AI Risk Management Policies7 targets
IEEE7000-01AI risk identification and assessment
IEEE7000-03Bias detection and mitigation
IEEE7000-05Ongoing AI risk monitoring
IEEE7000-06AI system documentation requirements
IEEE7000-09User notification of AI interactions
IEEE7000-10Validation of Ethical Outcomes
IEEE7000-10Validation of Ethical Outcomes
AIRMF-GOV-02AI Risk Culture4 targets
IEEE7000-06AI system documentation requirements
IEEE7000-09User notification of AI interactions
IEEE7000-10Validation of Ethical Outcomes
IEEE7000-10Validation of Ethical Outcomes
NIST-AI600-GOV-1Legal and Regulatory Compliance2 targets
IEEE7000-14Privacy protection in AI training data
IEEE7000-19Regulatory compliance for AI

Manage(4 mappings)

AIRMF-MAN-01AI Risk Treatment3 targets
IEEE7000-01AI risk identification and assessment
IEEE7000-03Bias detection and mitigation
IEEE7000-05Ongoing AI risk monitoring
NIST-AI600-MGT-5Decommissioning Procedures
IEEE7000-15Data retention for AI models

Map(3 mappings)

AIRMF-MAP-02AI Risk Identification
IEEE7000-01AI risk identification and assessment
AIRMF-MAP-03AI Impact Assessment
IEEE7000-01AI risk identification and assessment
NIST-AI600-MAP-1GAI Risk Identification
IEEE7000-14Privacy protection in AI training data

+6 more mappings

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and IEEE 7000?

NIST AI Risk Management Framework (AI RMF 1.0) has 52 controls across its framework, while IEEE 7000 covers 42 controls. Direct mapping analysis identifies 11 overlapping controls (21% coverage). The frameworks diverge most significantly in Measure, where 12 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct IEEE 7000 equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and IEEE 7000?

Of 52 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 11 map directly to IEEE 7000 controls — representing 21% coverage. The remaining 41 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 IEEE 7000?

41 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in IEEE 7000. 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 IEEE 7000?

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.