AI Risk Management Framework 2026

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This version includes significant enhancements:

• Expanded coverage of generative AI risks including hallucinations, prompt injection, data leakage, and synthetic content generation. • New guidance on agentic and multi-agent AI systems addressing autonomous decision-making and emergent behaviors.

• Enhanced AI supply chain risk management including AI Bill of Materials (AI-BOM) requirements and third-party model assessment.

• Comprehensive adversarial machine learning guidance covering evasion, poisoning, extraction, and inference attacks.

• Strengthened cybersecurity integration with direct alignment to NIST Cybersecurity Framework 2.0 and SP 800-53 controls.

• Updated international standards crosswalks including ISO/IEC 42001, EU AI Act, and Singapore AI Verify.

• New environmental sustainability considerations addressing AI's energy consumption and carbon footprint.

• Enhanced implementation guidance with sector-specific examples and maturity models

This version includes significant enhancements:

• Expanded coverage of generative AI risks including hallucinations, prompt injection, data leakage, and synthetic content generation. • New guidance on agentic and multi-agent AI systems addressing autonomous decision-making and emergent behaviors.

• Enhanced AI supply chain risk management including AI Bill of Materials (AI-BOM) requirements and third-party model assessment.

• Comprehensive adversarial machine learning guidance covering evasion, poisoning, extraction, and inference attacks.

• Strengthened cybersecurity integration with direct alignment to NIST Cybersecurity Framework 2.0 and SP 800-53 controls.

• Updated international standards crosswalks including ISO/IEC 42001, EU AI Act, and Singapore AI Verify.

• New environmental sustainability considerations addressing AI's energy consumption and carbon footprint.

• Enhanced implementation guidance with sector-specific examples and maturity models