As AI agents begin to act autonomously, making decisions, invoking tools, and interacting with other systems, traditional identity ownership models start to break down. This session examines who should issue, control, and revoke agentic AI identities across technical, legal, and governance dimensions. Through concrete scenarios, we’ll explore accountability, liability, and trust when agents act on behalf of humans, organizations, or other agents. Attendees will leave with a framework for thinking about AI identity ownership before policy and architecture decisions lock them in.