How to Secure Sensitive Data Before It Hits AI Models

Sensitive data often enters AI systems long before security teams realize it, creating risk well before models are trained or deployed. This webinar focuses on where sensitive information enters AI workflows, how visibility is lost as data moves into analytics tools and third party services, and why traditional controls struggle to keep up as AI adoption grows.

The discussion covers practical methods for identifying and classifying high risk data early, before it is used for training, fine tuning, or inference. Attendees will see how early risk signals can be detected and how automated controls help prevent exposure as AI usage scales. The session is designed for security and data leaders looking to put protections in place before sensitive data reaches AI models.