The AI governance gap: What leaders need to control before regulators ask

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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 will 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.