Topic

Compliance Controls

Compliance controls are the technical, operational, and administrative mechanisms that organizations implement to ensure AI systems adhere to regulatory requirements, industry standards, and internal policies. These controls span data governance, model validation, audit trails, access management, and documentation practices that demonstrate an organization's ability to meet obligations under frameworks like GDPR, AI Act, and sector-specific regulations. Effective compliance controls reduce legal risk, enable regulatory audits, and provide evidence that AI governance processes are functioning as designed.

1 item

ResearchUS2026-06-13

Practitioner Scorecard Maps Enterprise AI Governance Controls to NIST AI RMF and ISO 42001, Filling a Board Reporting Gap

CCG Catalyst has published a practitioner guide structuring enterprise AI governance programs around policy content, human-in-the-loop standards, validation, monitoring, roles, and committee reporting. The guide provides a board-style scorecard approach and explicitly maps control expectations to the NIST AI Risk Management Framework and ISO/IEC 42001. It is designed for compliance, risk, and audit teams that need operating metrics rather than high-level principles.

NIST AI RMF ISO 42001 board reporting AI governance program compliance controls