Cross-Framework Mapping

NIST AI Risk Management Framework (AI RMF 1.0)vsEU Taxonomy Regulation (Regulation 2020/852)

See exactly how NIST AI Risk Management Framework (AI RMF 1.0) controls map to EU Taxonomy Regulation (Regulation 2020/852). Pre-computed mappings, identified gaps, and coverage analysis.

36
Controls Mapped
0
Gaps Found
32%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

NIST AI Risk Management Framework (AI RMF 1.0) maps to EU Taxonomy Regulation (Regulation 2020/852) with 32% coverage across 10 directly mapped controls. Analysis of 31 NIST AI Risk Management Framework (AI RMF 1.0) controls identifies 21 compliance gaps — primarily concentrated in Govern.

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

Control Mappings

Showing 20 of 36 mapped controls across 4 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Govern(9 mappings)

AIRMF-GOV-01AI Risk Management Policies5 targets
Art. 15Cybersecurity Requirements
Art. 17Governance Structure
Art. 2Consent Definition
Art. 4Participating Institutions
Art. 8Data Categories
NIST-AI600-GOV-1Legal and Regulatory Compliance4 targets
Art. 12Data Ownership
Art. 19Consent Management Controls
Art. 26Outsourcing of Personal Information Processing
Art. 8Data Categories

Manage(2 mappings)

AIRMF-MAN-01AI Risk Treatment
Art. 15Cybersecurity Requirements
NIST-AI600-MGT-3Third-Party Dependency Management
Art. 26Outsourcing of Personal Information Processing

Map(9 mappings)

AIRMF-MAP-01AI System Context
Art. 21Administrative Sanctions
AIRMF-MAP-02AI Risk Identification3 targets
EUTAX-OBJ-03Water and Marine Resources
EUTAX-OBJ-04Circular Economy
EUTAX-OBJ-05Pollution Prevention
NIST-AI600-MAP-1GAI Risk Identification5 targets
Art. 12Data Ownership
Art. 19Consent Management Controls
Art. 26Outsourcing of Personal Information Processing
Art. 8Data Categories
EUTAX-OBJ-03Water and Marine Resources

+16 more mappings

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Related Comparisons

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

Other EU Taxonomy Regulation (Regulation 2020/852) comparisons

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What are the key differences between NIST AI Risk Management Framework (AI RMF 1.0) and EU Taxonomy Regulation (Regulation 2020/852)?

NIST AI Risk Management Framework (AI RMF 1.0) has 31 controls across its framework, while EU Taxonomy Regulation (Regulation 2020/852) covers 37 controls. Direct mapping analysis identifies 10 overlapping controls (32% coverage). The frameworks diverge most significantly in Govern, where 7 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct EU Taxonomy Regulation (Regulation 2020/852) equivalent.

How many controls map between NIST AI Risk Management Framework (AI RMF 1.0) and EU Taxonomy Regulation (Regulation 2020/852)?

Of 31 total NIST AI Risk Management Framework (AI RMF 1.0) controls, 10 map directly to EU Taxonomy Regulation (Regulation 2020/852) controls — representing 32% coverage. The remaining 21 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 EU Taxonomy Regulation (Regulation 2020/852)?

21 NIST AI Risk Management Framework (AI RMF 1.0) controls have no direct equivalent in EU Taxonomy Regulation (Regulation 2020/852). The highest concentration of gaps is in Govern with 7 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 EU Taxonomy Regulation (Regulation 2020/852)?

The domain with the highest gap count is Govern (7 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.