Generative AI, enterprise copilots, and agentic AI are transforming how organizations create, access, and share data. But as AI becomes embedded across email, collaboration platforms, and business applications, many security teams lack visibility into how sensitive information is being exposed, learned, or reused. Employees are experimenting with AI tools, often outside of formal governance frameworks, while AI systems operate with unprecedented speed and scale. Meanwhile, the average cost of a data breach is nearing $4.5 million, and regulatory pressure continues to grow.

A modern AI data governance strategy helps organizations reduce risk while enabling innovation by aligning people, processes, and technology around responsible data use.

Join this session to discuss:
- Key data risks introduced by AI
- Building an effective AI governance framework
- Protecting sensitive data across AI workflows