AI Behaves, Intent Evolves: Rethinking Governance in the Age of Agentic AI

AI is no longer passive. It behaves, acts and makes decisions in real time. Agentic systems initiate actions, select tools and respond dynamically to context, making intent a fluid and evolving property instead of a fixed input. This shift breaks traditional governance frameworks built on declared purpose, documentation and static review.

Privacy and legal leaders need to shift from governing what was intended to governing what is expressed through behavior. In this session, we will explore and demonstrate how data journeys offer full-spectrum visibility into how personal data flows, transforms, and drives AI behavior. These journeys are emerging as the crown jewel of modern AI oversight, enabling behavioral traceability and real-time accountability. You will learn why this new layer of governance is essential to align AI systems with legal, ethical and organizational expectations in a world where systems never stand still.

What you will learn:

• Why Agentic AI breaks traditional governance frameworks, and why approaches based on declared purpose, static policy, and point-in-time review are necessary.
• How data journeys are core to rethinking AI governance, offering real-time visibility into how personal data drives behavior across systems.
• How privacy and legal teams can lead this shift, building governance practices that keep pace with evolving AI behavior, intent and risk.

Sponsored by: Relyance AI