AI Moves Fast. Can Your Data Controls Keep Up?

Enterprise AI is moving quickly from experimentation to production, and from workflows that generate content to agents that take action. As AI becomes more autonomous, sensitive data moves with it across models, agents, tools, and infrastructure.

Non-deterministic AI requires deterministic controls. In this session, we’ll look at where traditional data security breaks down as AI moves from structured workflows to autonomous agents, and walk through the specific controls and design changes security and data teams can use to keep sensitive data protected as it moves through AI systems.

Attendees will leave with a framework for identifying where sensitive data is exposed across their AI architecture, along with practical patterns for governing that data across models, agents, and tools while keeping pace with the teams building them.