As organizations adopt AI tools and autonomous systems, privacy and security teams are facing growing risks around sensitive data, regulatory exposure, and vendor oversight, often without clear visibility into how AI is accessing or using enterprise data.
The bigger challenge is putting governance into practice with the visibility, controls, and vendor accountability needed to keep pace with AI adoption across the enterprise.
In this webinar, we’ll explore how organizations can strengthen AI governance, reduce privacy and compliance risk, and set clearer expectations for AI vendors around data usage, audit rights, liability, and transparency.
What You’ll Learn:
- Why most AI governance programs are already playing catch-up
- The visibility and inventory gaps creating hidden privacy and compliance risk
- What organizations should require from AI vendors to reduce legal and regulatory exposure
- How to classify and govern sensitive data used by AI systems
- What operational AI governance looks like beyond policy documents and frameworks
- Manual operations barely scaled for privacy before AI, automation and agentic capabilities are needed now more than ever