Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsISO 37000:2021 — Governance of Organizations

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to ISO 37000:2021 — Governance of Organizations. Pre-computed mappings, identified gaps, and coverage analysis.

15
Controls Mapped
16
Gaps Found
19%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to ISO 37000:2021 — Governance of Organizations with 19% coverage across 6 directly mapped controls. Analysis of 31 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 25 compliance gaps — primarily concentrated in Govern.

Source: TheArtOfService Knowledge Graph | 31 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 15 of 15 mapped controls across 4 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Govern(4 mappings)

AIRMF-GOV-01AI Risk Management Policies4 targets
ISO-37000-14.1Risk governance
ISO-37000-14.2Risk appetite and tolerance
ISO-37000-6.1Purpose definition
ISO-37000-7.1Value model

Manage(2 mappings)

AIRMF-MAN-01AI Risk Treatment2 targets
ISO-37000-14.1Risk governance
ISO-37000-14.2Risk appetite and tolerance

Map(4 mappings)

AIRMF-MAP-02AI Risk Identification2 targets
ISO-37000-12.3Leadership development and succession
ISO-37000-16.1Organizational viability and sustainability
NIST-AI600-MAP-1GAI Risk Identification2 targets
ISO-37000-12.3Leadership development and succession
ISO-37000-16.1Organizational viability and sustainability

Measure(5 mappings)

AIRMF-MEA-01AI Performance Metrics3 targets
ISO-37000-14.2Risk appetite and tolerance
ISO-37000-6.1Purpose definition
ISO-37000-7.1Value model
NIST-AI600-MEA-4Environmental Impact Measurement2 targets
ISO-37000-12.3Leadership development and succession
ISO-37000-16.1Organizational viability and sustainability

Related Comparisons

Other NIST AI Risk Management Framework (AI RMF 1.0) comparisons

Other ISO 37000:2021 — Governance of Organizations comparisons

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and ISO 37000:2021 — Governance of Organizations?

NIST AI Risk Management Framework (AI RMF 1.0) has 31 controls across its framework, while ISO 37000:2021 — Governance of Organizations covers 26 controls. Direct mapping analysis identifies 6 overlapping controls (19% coverage). The frameworks diverge most significantly in Govern, where 8 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct ISO 37000:2021 — Governance of Organizations equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and ISO 37000:2021 — Governance of Organizations?

Of 31 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 6 map directly to ISO 37000:2021 — Governance of Organizations controls — representing 19% coverage. The remaining 25 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 ISO 37000:2021 — Governance of Organizations?

25 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in ISO 37000:2021 — Governance of Organizations. The highest concentration of gaps is in Govern with 8 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 ISO 37000:2021 — Governance of Organizations?

The domain with the highest gap count is Govern (8 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.