Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsICMM Mining Principles (2024 Update)

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to ICMM Mining Principles (2024 Update). Pre-computed mappings, identified gaps, and coverage analysis.

6
Controls Mapped
25
Gaps Found
16%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to ICMM Mining Principles (2024 Update) with 16% coverage across 5 directly mapped controls. Analysis of 31 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 26 compliance gaps — primarily concentrated in Govern.

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

Control Mappings

Showing 6 of 6 mapped controls across 4 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Govern(1 mappings)

AIRMF-GOV-01AI Risk Management Policies
ICMM-P4Risk Management

Manage(1 mappings)

AIRMF-MAN-01AI Risk Treatment
ICMM-P4Risk Management

Map(2 mappings)

AIRMF-MAP-02AI Risk Identification
ICMM-P7Conservation of Biodiversity
NIST-AI600-MAP-1GAI Risk Identification
ICMM-P7Conservation of Biodiversity

Measure(2 mappings)

NIST-AI600-MEA-4Environmental Impact Measurement2 targets
ICMM-P6Environmental Performance
ICMM-P7Conservation of Biodiversity

Related Comparisons

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

Other ICMM Mining Principles (2024 Update) comparisons

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and ICMM Mining Principles (2024 Update)?

NIST AI Risk Management Framework (AI RMF 1.0) has 31 controls across its framework, while ICMM Mining Principles (2024 Update) covers 10 controls. Direct mapping analysis identifies 5 overlapping controls (16% coverage). The frameworks diverge most significantly in Govern, where 8 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct ICMM Mining Principles (2024 Update) equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and ICMM Mining Principles (2024 Update)?

Of 31 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 5 map directly to ICMM Mining Principles (2024 Update) controls — representing 16% coverage. The remaining 26 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 ICMM Mining Principles (2024 Update)?

26 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in ICMM Mining Principles (2024 Update). 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 ICMM Mining Principles (2024 Update)?

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.