Data Protection and Privacy Summit

AI is changing how sensitive data moves across the enterprise. Agents inherit permissions, vector stores retain copies of data, and information can cross environments and jurisdictions faster than teams can track it. The result is a familiar challenge in a new form: where does sensitive data live, who can access it, and what risk does it create?

This session will explore how modern data security programs connect classification with access, exposure, ownership, and business context across cloud, SaaS, and AI environments.

You’ll learn how to discover and classify sensitive data at scale, understand the risks introduced by AI, and move from static findings to prioritized, actionable risk that can be remediated before it becomes an incident.

Key takeaways:

Understand how AI is expanding the data attack surface across cloud, SaaS, agents, and RAG pipelines.
Use three questions to guide data security decisions: where is my data, who can access it, and what risk does it introduce?
See why classification alone isn’t enough, and how context helps prioritize what matters.
Apply a practical approach to discovering, classifying, enriching, and remediating sensitive data.