Domain 1: AI Governance and Risk Management

This domain assesses the organization's AI governance structure, policies, risk management processes, and oversight mechanisms.

Domain Overview

Effective AI governance is the foundation for responsible AI deployment and use within an organization. This domain evaluates whether your organization has established appropriate governance structures, policies, risk assessment methodologies, and oversight mechanisms for AI systems.

Key Considerations

  • Formal AI governance policies aligned with ISO 42001
  • Structured AI risk assessment methodologies
  • Clearly defined roles and responsibilities, including CAISO and AIGC positions
  • Comprehensive inventory of AI systems with risk classifications
  • Review and approval processes for AI systems
  • Metrics to measure governance effectiveness

Assessment Questions

Question 1: Does the organization have a documented AI governance policy that aligns with ISO 42001?

Control Reference: ISO 42001 Section 5.2 (AI Policy)

Compliance Status

Remediation

Recommendation: Develop and implement an AI governance policy that establishes principles, roles, and responsibilities for AI systems management, aligned with ISO 42001 requirements.

Additional Considerations

AI Security Operations Center (AiSOC)

Consider establishing an AiSOC with defined position descriptions, training requirements, incident response plans, and disaster recovery procedures.

AI vs. Cybersecurity GRC

Note that AI Governance focuses primarily on input/output data and associated outcomes, while traditional Cybersecurity GRC operates within a total enterprise risk methodology.

Reference Frameworks

Ensure alignment with OWASP AI Exchange, MIT Risk Matrix, and NIST standards when developing your AI governance framework.