As AI systems are rapidly integrated into everyday business operations—from copilots to customer service to analytics—the way organizations generate, process, and share data is being fundamentally transformed. But with these new capabilities come serious new risks: sensitive data can now leak not only through traditional channels but also through AI prompts, outputs, and integrations with third-party tools.

In this session, we’ll explore the emerging data security challenges brought by the rise of generative AI and autonomous systems and online services.

Drawing from real enterprise cases and hands-on experience, the talk highlights the importance of context aware data loss prevention (DLP) strategies and modern approaches to sensitive data classification and detection. You ...