AI Governance, Compliance & Risk Management

What's Happening

As AI deployment accelerates across enterprises, so does the regulatory and compliance burden. The EU AI Act — the world's first comprehensive AI regulation — entered into force in August 2024, with prohibitions and AI literacy requirements effective since February 2025, general-purpose AI obligations starting August 2025, and full applicability by August 2026. Fines for violations can reach €35 million or 7% of global revenue. But the EU is just the beginning: over 700 AI-related policy initiatives were tracked globally in 2024, and countries from Brazil to Singapore to Canada are implementing their own AI governance frameworks. For enterprises using AI, this creates an urgent need for tools that help them understand what regulations apply, document their AI systems, assess risks, monitor for bias, and maintain audit trails. McKinsey estimates that only 11% of businesses used generative AI at scale as of 2024, and roughly 95% of enterprise gen AI pilots fail to reach measurable P&L impact — often because governance, risk management, and compliance were afterthoughts rather than built-in from the start. The AI governance tools market is emerging rapidly. Platforms like Credo AI, Holistic AI, and IBM's AI FactSheets help organizations catalog their AI systems, assess risk levels under the EU AI Act's classification framework, document model behavior, and generate compliance reports. Model monitoring tools track for bias, drift, and performance degradation in production. Explainability tools help teams understand why AI models make specific decisions — a requirement for high-risk AI systems under the EU AI Act. Shadow AI is a growing concern: IBM and others warn that unapproved AI tools and plug-ins being used by employees add to risk and cost. Enterprises need visibility into what AI is being used across their organization and whether it meets compliance standards.

Interest Over Time

Market Size