The Third-Party Agent Problem: Why Security Built for AI You Chose Misses the Ag

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

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

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

AI agents can improvise beyond the intended scope of a task when they are given broad access to enterprise systems and data. Token Security explains why organizations need to

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

New Industry Data Just Released Suggests Not. On May 19th, 2026, Orchid Security released the results of our Identity Gap: Snapshot 2026. Among the findings, "identity dark

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>