How to Build a Durable AI Governance Program: A 3-Pillar Framework

AI adoption inside the enterprise has outpaced the governance built to contain it — 57% of employees have used AI tools for work without telling their manager. Policies get written and committees get formed, but exposure keeps accumulating, because data governance, AI oversight, and security are almost always run as three separate programs. In this video, Kovrr breaks down the three pillars that need to connect, and what separates a durable AI governance program from a documented one.

We cover:

• The three pillars of a durable AI governance program (data governance, AI governance, and security) and why the handshakes between them are where most programs quietly unravel
• The difference between data-centric and system-centric AI governance, and why security spans both dimensions
• Why an AI inventory is only the start, and how AI Risk Quantification (AIRQ) turns findings into financial priorities the board can act on
• Why shared ownership across the CISO, CIO, and COO produces the same outcome as no ownership at all

Schedule a demo: https://www.kovrr.com/ai-risk-assessment-demo
Learn more about the AI Security and Governance Platform: https://www.kovrr.com/ai-governance
Read the full report, co-authored with Christiane Baetz, CISO at the Financial Conduct Authority: https://www.kovrr.com/reports/how-to-build-a-durable-ai-governance-programme-a-3-pillar-framework

#AIGovernance #AIRiskManagement #DataGovernance #AIRQ #EnterpriseAI #Kovrr