AI Governance
AI Governance refers to the systemic framework of policies, procedures, compliance standards, and organizational structures established to supervise, monitor, and regulate an organization's AI deployment.
Frequently Asked Questions
What is the role of an AI registry in AI governance?▼
It maintains a central inventory of all active models inside an enterprise, cataloging their training data provenance, approval status, risk rating, and owners.
What regulatory standards influence AI governance?▼
The EU AI Act, which categorizes AI applications by risk levels and enforces strict compliance requirements on high-risk use cases.
Quick Facts
- CategoryAlignment & Safety
- Key ApplicationRegulatory compliance tracking, audit logging, model access control, and board-level risk management.
Coverage Trend12 Weeks
Related AI Terms
AI Governance Media Coverage & Intelligence

FinOps AI governance demands new KPIs as token economics reshape enterprise cost models
FinOps AI governance is being stress-tested as AI spending accelerates across enterprises. The familiar levers of cost optimization - tagging, rightsizing and reserved capacity - are proving insufficient against a cost model governed by tokens, opaque billing and architectures that shift faster than
Zero knowledge verification for frontier AI training is possible
Frontier AI governance frameworks increasingly use cumulative training compute as the primary criterion for desi