AI agents increasingly act on our behalf - accessing data, automating decisions, and communicating across systems. But when non‑human actors inherit human privileges, traditional identity, authorization, and privacy assumptions break down. This session explores how autonomous agents become insider threats, why OAuth‑era security models fail, and which practical, standards‑based patterns can restore accountability, auditability, and privacy in agent‑driven systems.