Cross-Framework Mapping

IEEE 7000vsNIST AI Risk Management Framework (AI RMF 1.0)

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

26
Controls Mapped
16
Gaps Found
21%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

IEEE 7000 maps to NIST AI Risk Management Framework (AI RMF 1.0) with 21% coverage across 10 directly mapped controls. Analysis of 42 IEEE 7000 controls identifies 35 compliance gaps — primarily concentrated in IEEE 7000: AI Safety & Security.

Source: TheArtOfService Knowledge Graph | 42 controls analysed | 719 frameworks | 428K+ cross-framework mappings

Control Mappings

Showing 20 of 26 mapped controls across 5 domains. Sign up to explore all 428K+ mappings across 719 frameworks.

IEEE 7000: AI Risk Management(9 mappings)

IEEE7000-01AI risk identification and assessment5 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MAN-01AI Risk Treatment
AIRMF-MAP-02AI Risk Identification
AIRMF-MAP-03AI Impact Assessment
NIST-AI600-MAP-2Stakeholder Impact Assessment
IEEE7000-03Bias detection and mitigation2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MAN-01AI Risk Treatment
IEEE7000-05Ongoing AI risk monitoring2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MAN-01AI Risk Treatment

IEEE 7000: AI Transparency & Explainability(9 mappings)

IEEE7000-06AI system documentation requirements3 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture
AIRMF-MEA-03AI Transparency and Explainability
IEEE7000-09User notification of AI interactions3 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture
AIRMF-MEA-03AI Transparency and Explainability
IEEE7000-10Validation of Ethical Outcomes3 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture
AIRMF-MEA-03AI Transparency and Explainability

Validation(2 mappings)

IEEE7000-10Validation of Ethical Outcomes2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-GOV-02AI Risk Culture

+6 more mappings

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

IEEE 7000 has 42 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 52 controls. Direct mapping analysis identifies 10 overlapping controls (21% coverage). The frameworks diverge most significantly in IEEE 7000: AI Safety & Security, where 5 IEEE 7000 controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.

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

Of 42 total IEEE 7000 controls, 10 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 21% coverage. The remaining 35 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping IEEE 7000 to NIST AI Risk Management Framework (AI RMF 1.0)?

35 IEEE 7000 controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in IEEE 7000: AI Safety & Security with 5 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 IEEE 7000 and NIST AI Risk Management Framework (AI RMF 1.0)?

The domain with the highest gap count is IEEE 7000: AI Safety & Security (5 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.