Cross-Framework Mapping

AWS Well-Architected Security PillarvsNIST AI Risk Management Framework (AI RMF 1.0)

See exactly how AWS Well-Architected Security Pillar controls map to NIST AI Risk Management Framework (AI RMF 1.0). Pre-computed mappings, identified gaps, and coverage analysis.

13
Controls Mapped
12
Gaps Found
32%
Coverage

According to the TheArtOfService Compliance Knowledge Graph:

AWS Well-Architected Security Pillar maps to NIST AI Risk Management Framework (AI RMF 1.0) with 32% coverage across 8 directly mapped controls. Analysis of 25 AWS Well-Architected Security Pillar controls identifies 17 compliance gaps — primarily concentrated in AWS Well-Architected Security Pillar: Identity & Access in Cloud.

Source: TheArtOfService Knowledge Graph | 25 controls analysed | 693 frameworks | 819K+ cross-framework mappings

Control Mappings

Showing 13 of 13 mapped controls across 3 domains. Sign up to explore all 819K+ mappings across 693 frameworks.

AWS Well-Architected Security Pillar: Cloud Governance(6 mappings)

AWS-WA-01Shared responsibility model definition2 targets
AIRMF-GOV-01AI Risk Management Policies
AIRMF-MEA-01AI Performance Metrics
AWS-WA-03Cloud risk assessment3 targets
AIRMF-MAP-02AI Risk Identification
AIRMF-MAP-03AI Impact Assessment
NIST-AI600-MAP-2Stakeholder Impact Assessment
AWS-WA-04Regulatory compliance for cloud services
NIST-AI600-GOV-1Legal and Regulatory Compliance

AWS Well-Architected Security Pillar: Data Protection in Cloud(4 mappings)

AWS-WA-12Encryption of cloud-stored data2 targets
NIST-AI600-MGT-1Content Provenance Implementation
NIST-AI600-MGT-5Decommissioning Procedures
AWS-WA-14Data backup and recovery in cloud
NIST-AI600-MGT-5Decommissioning Procedures
AWS-WA-15Secure data deletion in cloud
NIST-AI600-MGT-5Decommissioning Procedures

AWS Well-Architected Security Pillar: Cloud Operations & Monitoring(3 mappings)

AWS-WA-22Incident response in cloud2 targets
AIRMF-MAN-03AI Incident Response
NIST-AI600-MGT-4Incident Response for GAI
AWS-WA-23Cloud vulnerability management
AIRMF-MAN-03AI Incident Response

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What are the key differences between AWS Well-Architected Security Pillar and NIST AI Risk Management Framework (AI RMF 1.0)?

AWS Well-Architected Security Pillar has 25 controls across its framework, while NIST AI Risk Management Framework (AI RMF 1.0) covers 31 controls. Direct mapping analysis identifies 8 overlapping controls (32% coverage). The frameworks diverge most significantly in AWS Well-Architected Security Pillar: Identity & Access in Cloud, where 5 AWS Well-Architected Security Pillar controls have no direct NIST AI Risk Management Framework (AI RMF 1.0) equivalent.

How many controls map between AWS Well-Architected Security Pillar and NIST AI Risk Management Framework (AI RMF 1.0)?

Of 25 total AWS Well-Architected Security Pillar controls, 8 map directly to NIST AI Risk Management Framework (AI RMF 1.0) controls — representing 32% coverage. The remaining 17 controls represent compliance gaps requiring additional documentation or compensating controls to satisfy both frameworks simultaneously.

What are the compliance gaps when mapping AWS Well-Architected Security Pillar to NIST AI Risk Management Framework (AI RMF 1.0)?

17 AWS Well-Architected Security Pillar controls have no direct equivalent in NIST AI Risk Management Framework (AI RMF 1.0). The highest concentration of gaps is in AWS Well-Architected Security Pillar: Identity & Access in Cloud with 5 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 AWS Well-Architected Security Pillar and NIST AI Risk Management Framework (AI RMF 1.0)?

The domain with the highest gap count is AWS Well-Architected Security Pillar: Identity & Access in Cloud (5 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.