Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsCDP (formerly Carbon Disclosure Project)

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to CDP (formerly Carbon Disclosure Project). Pre-computed mappings, identified gaps, and coverage analysis.

28
Controls Mapped
3
Gaps Found
26%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to CDP (formerly Carbon Disclosure Project) with 26% coverage across 8 directly mapped controls. Analysis of 31 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 23 compliance gaps — primarily concentrated in Govern.

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

Control Mappings

Showing 20 of 28 mapped controls across 4 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Govern(3 mappings)

AIRMF-GOV-01AI Risk Management Policies3 targets
FAA-CS-3.1Data-Driven Risk Management
FAA-CS-3.2Supply Chain Risk Management
GAMP5-1.1Risk-Based Approach

Manage(4 mappings)

AIRMF-MAN-01AI Risk Treatment3 targets
FAA-CS-3.1Data-Driven Risk Management
FAA-CS-3.2Supply Chain Risk Management
GAMP5-1.1Risk-Based Approach
NIST-AI600-MGT-3Third-Party Dependency Management
FAA-CS-3.2Supply Chain Risk Management

Map(13 mappings)

AIRMF-MAP-02AI Risk Identification6 targets
CDP-EP-3Biodiversity Impacts
CDP-EP-4Plastics
CDP-GS-1Board Oversight of Environmental Issues
CDP-RM-1Risk Identification Process
CDP-RM-3Value Chain Risk Assessment
GAMP5-1.2Patient Safety Risk Assessment
AIRMF-MAP-03AI Impact Assessment3 targets
CDP-RM-1Risk Identification Process
CDP-RM-3Value Chain Risk Assessment
GAMP5-1.2Patient Safety Risk Assessment
NIST-AI600-MAP-1GAI Risk Identification3 targets
CDP-EP-3Biodiversity Impacts
CDP-EP-4Plastics
CDP-GS-1Board Oversight of Environmental Issues
NIST-AI600-MAP-2Stakeholder Impact Assessment
CDP-RM-1Risk Identification Process

+8 more mappings

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Related Comparisons

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

Other CDP (formerly Carbon Disclosure Project) comparisons

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and CDP (formerly Carbon Disclosure Project)?

NIST AI Risk Management Framework (AI RMF 1.0) has 31 controls across its framework, while CDP (formerly Carbon Disclosure Project) covers 32 controls. Direct mapping analysis identifies 8 overlapping controls (26% coverage). The frameworks diverge most significantly in Govern, where 8 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct CDP (formerly Carbon Disclosure Project) equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and CDP (formerly Carbon Disclosure Project)?

Of 31 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 8 map directly to CDP (formerly Carbon Disclosure Project) controls — representing 26% coverage. The remaining 23 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 CDP (formerly Carbon Disclosure Project)?

23 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in CDP (formerly Carbon Disclosure Project). 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 CDP (formerly Carbon Disclosure Project)?

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.