The Acceleration Problem: Privacy in the Age of AI and Infinite Data

Privacy programs were not designed for the speed and scale of today’s data environments. The pace of change has outgrown traditional approaches to privacy, as artificial intelligence systems generate, transform and act on data continuously. What once operated at human speed now needs to function at machine speed.

This session explores what that shift means in practice. Through a practical discussion between industry and product perspectives, it will provide a clear view of how privacy programs are adapting to keep pace with the acceleration of data and AI.

What you will learn:

• How data visibility is moving from static inventories to continuously updated, system-level awareness.

• How operational models are shifting from manual workflows to scalable, system-enabled execution.

• How consent is expanding from a point-in-time interaction to a persistent, enforceable signal across data lifecycles.

Sponsored by Securiti AI