As AI agents rapidly enter enterprise workflows - from copilots to autonomous executors - the boundary of identity is shifting. It’s no longer enough to govern who has access; organizations must now understand and control who (or what) actually takes action. This session explores a new approach that connects identity, intent, and execution into a unified model - capturing how tasks are delegated to agents, how decisions are made, and how actions impact systems and data. We will examine practical challenges in discovering agents, correlating intent with outcomes, and applying risk-aware controls without slowing innovation. The session includes a demo showing how real-time visibility and lightweight governance can bring accountability and trust to agent-driven environments.
