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Mapping NIST AI RMF to EU Regulations

1. Regulatory Ecosystem Overview

2. Implementation Timeline

3. Mapping Core Principles

4. Detailed Cross-Mapping of Requirements

5. Scope and Overlaps

6. Risk Management — Comparative Model

7. Incident Reporting — Deadline Comparison

8. Documentation Requirements

9. Governance Structure

10. Mapping NIST AI 600-1 GAI Risks to Regulations

11. EU AI Act - Risk Classification Detail

12. Three Lines of Defense — Integrated Model

13. Data Flows and Protection

14. Supply Chain / Value Chain Requirements

15. Compliance Maturity Model


Summary Cross-Reference Table

AreaNIST AI RMFEU AI ActGDPRNIS2DORA
Risk ManagementGOVERN 1.3, MAP, MEASUREArt. 9Art. 35 (DPIA)Art. 21Art. 6
DocumentationGOVERN 1.5, MAP 1.1Art. 11, Annex IVArt. 30Art. 21(2)Art. 11
Human OversightGOVERN 3.2, MAP 3.4Art. 14Art. 22--
Data GovernanceMAP 1.1, MEASURE 2.11Art. 10Art. 5, 25Art. 21(2)(i)Art. 9
Incident ReportingGOVERN 4.3, MANAGE 4.3Art. 73Art. 33-34Art. 23Art. 19
SecurityMEASURE 2.7, MANAGE 3.1Art. 15Art. 32Art. 21Art. 9
Third-party RiskGOVERN 6, MANAGE 3.1Art. 25-27Art. 28Art. 21(2)(d)Ch. V
TransparencyGOVERN 1.2, MEASURE 2.8Art. 13, 50Art. 12-14Art. 23(3)Art. 17
Testing/ValidationMEASURE 2.3-2.6Art. 9(7), 43-Art. 21(2)(e)Art. 24-27
AccountabilityGOVERN 2.1Art. 17, 26Art. 5(2), 24Art. 20Art. 5(4)

Key Terms and Definitions

TermNISTEU AI ActGDPRNIS2DORA
Personal DataPII/Sensitive DataPersonal DataPersonal Data (Art. 4)--
RiskComposite measure4-tier classificationHigh risk processingCyber riskICT risk
IncidentAI IncidentSerious IncidentData BreachSignificant IncidentMajor ICT Incident
SystemAI SystemAI System (Art. 3)-Network & Info SystemICT System
Provider/ControllerAI ActorProviderControllerOperatorFinancial Entity
AuditTEVVConformity Assessment-AuditTesting

  1. Gap Analysis: Map the current state.
  2. Risk Assessment: Identify and prioritize risks.
  3. Governance Setup: Roles, responsibilities, processes.
  4. Documentation: Policies, procedures, records.
  5. Technical Controls: Security and privacy measures.
  6. Testing & Validation: TEVV, penetration tests.
  7. Training: AI Literacy, Security Awareness.
  8. Continuous Monitoring: KPIs, incident management.