Agentic AI Has an Identity Problem and Attackers Know It

AI agents are accelerating the growth of non-human identities, making it harder for organizations to understand what exists, who owns it, and what it can access. Netwrix 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

As AI agents increasingly work alongside humans across organizations, companies could be inadvertently opening a new attack surface. Insecure agents can be manipulated to access

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

Agentic AI is already running in production environments across many organizations today. It is executing tasks, consuming data, and taking actions — most likely without

Identity lifecycle management was architected around a person with an employment record, a manager, and a departure date. AI agents have none of those. As autonomous principals

<h1> OWASP Agentic Top 10 — What Every AI Developer Should Know in 2026 </h1> <blockquote> <p>2026 年，你的 AI Agent 刚刚自动完成了一笔 100 万美元的转账，但你从未授权这个操作。</p> </blockquote>