AI Governance Frameworks

Framework Selection Matters. The most effective AI governance programs integrate multiple frameworks: NIST AI RMF for lifecycle risk management, ISO 42001 for certifiable management systems, sector-specific regulations for compliance, and foundational security controls for infrastructure protection.

AI-Specific Frameworks

NIST AI RMF

U.S. Standard

The foundational U.S. standard for AI risk management. Four core functions—GOVERN, MAP, MEASURE, MANAGE—structure AI governance across the lifecycle.

Voluntary Jan 2023 GenAI Profile

ISO/IEC 42001

International Standard

The world's first certifiable AI management system standard. 38 controls for demonstrable AI governance through independent audit.

Certifiable Dec 2023 38 Controls

Security and Compliance Frameworks

NIST SP 800-53

Security Controls

The definitive catalog of security and privacy controls. 20 control families providing foundational infrastructure for AI systems.

Rev 5.2.0 FISMA Federal Baseline

FedRAMP

Cloud Authorization

Federal cloud authorization program. Required for AI services sold to U.S. government agencies. Major 20x overhaul in 2025.

Mandatory (Federal) FedRAMP 20x 3 Impact Levels

Asset and Infrastructure Frameworks

ISO 55000

Asset Management

International asset management standard. Critical for utilities extending existing governance to AI. New ISO 55013 covers data assets.

Updated 2024 Utilities Focus ISO 55013 Data

Framework Integration

Organizations in regulated industries typically need multiple frameworks working together:

Financial Services: NIST AI RMF + SR 11-7 + NIST 800-53
Insurance: NIST AI RMF + NAIC Model Bulletin + Colorado SB 21-169
Utilities: ISO 55000 + NIST AI RMF + NERC CIP
Federal Contractors: FedRAMP + NIST 800-53 + NIST AI RMF
EU Market Access: ISO 42001 + EU AI Act