Identity Lifecycle Management Wasn't Built for AI Agents

AI agents can access data, trigger workflows, deploy code, and interact with critical business systems, often with little oversight. Token Security breaks down why AI agents are

arXiv:2605.05440v1 Announce Type: new Abstract: The security discussion around agentic AI focuses heavily on prompt injection. This paper argues that multi-agent systems also

Persistent AI coworkers may operate continuously with standing access, creating identity risks that existing security models were not designed to handle. Token Security explains

AI agents are designed to improvise as they complete tasks, making broad permissions a growing security risk. Token Security explains why identity, intent-based access controls,

Traditional security workflows were built for environments that changed at human speed. Token Security explains why AI agents require a new approach: building on a live identity

In environments studied for the 2026 State of Agent Security Report, roughly 1,280 third-party products now embed AI. About 282 of them sit behind single sign-on. The other

If an autonomous AI agent interacts with your company's core intellectual property today, can your security team instantly name the person who authorized it? For most enterprises,

<p>What three independent research groups concluded in early 2026 — and what it means for anyone building agent pipelines today</p> <p>In the first quarter of 2026, at least three