Cross-Framework Mapping

ASEAN Data Management FrameworkvsNIST AI Risk Management Framework (AI RMF 1.0)

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

27
Controls Mapped
12
Gaps Found
33%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

ASEAN Data Management Framework maps to NIST AI Risk Management Framework (AI RMF 1.0) with 33% coverage across 13 directly mapped controls. Analysis of 39 ASEAN Data Management Framework controls identifies 26 compliance gaps — primarily concentrated in Risk Assessment.

Source: TheArtOfService Knowledge Graph | 39 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 20 of 27 mapped controls across 5 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

Governance and Oversight(7 mappings)

Art. 17Governance Structure2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MEA-01AI Performance Metrics
Art. 19Consent Management Controls3 targets
NIST-AI600-GOV-1Legal and Regulatory Compliance
NIST-AI600-MAP-1GAI Risk Identification
NIST-AI600-MEA-3Privacy Leak Assessment
DMF-1.2Roles and Responsibilities2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MEA-01AI Performance Metrics

Policies and Procedural Documents(1 mappings)

DMF-2.3Data Protection Safeguards
NIST-AI600-MGT-5Decommissioning Procedures

Risk Assessment(10 mappings)

DMF-4.1Impact Assessment3 targets
AIRMF-MAP-02AI Risk Identification
AIRMF-MAP-03AI Impact Assessment
NIST-AI600-MAP-2Stakeholder Impact Assessment
DMF-4.3Regulatory Risk Assessment4 targets
AIRMF-MAP-02AI Risk Identification
AIRMF-MAP-03AI Impact Assessment
NIST-AI600-MAP-2Stakeholder Impact Assessment
NIST-AI600-MGT-5Decommissioning Procedures
RA-1Security Risk Assessment3 targets
AIRMF-MAP-02AI Risk Identification
AIRMF-MAP-03AI Impact Assessment
NIST-AI600-MAP-2Stakeholder Impact Assessment

Controls and Data Lifecycle(2 mappings)

DMF-5.2Collection Controls2 targets
NIST-AI600-GOV-1Legal and Regulatory Compliance
NIST-AI600-MAP-1GAI Risk Identification

+7 more mappings

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Related Comparisons

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

ASEAN Data Management Framework has 39 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 31 controls. Direct mapping analysis identifies 13 overlapping controls (33% coverage). The frameworks diverge most significantly in Risk Assessment, where 10 ASEAN Data Management Framework controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.

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

Of 39 total ASEAN Data Management Framework controls, 13 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 33% 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 ASEAN Data Management Framework to NIST AI Risk Management Framework (AI RMF 1.0)?

26 ASEAN Data Management Framework controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in Risk Assessment with 10 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 ASEAN Data Management Framework and NIST AI Risk Management Framework (AI RMF 1.0)?

The domain with the highest gap count is Risk Assessment (10 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.