Analysis · curated 12 Sep 2026
AI Agent Security: Trusted, Malicious and Unknown
First reported hcaptcha.com
Coverage timeline
Single-source analysis — first reported, latest, and curated coincide.
Why it matters
AI agent classification and scoped-trust policies matter to defenders operating services that must distinguish legitimate autonomous agents from malicious automation, but this piece is evergreen reference material rather than a specific threat or tool.
An hCaptcha learning page defines AI agent security and proposes a three-state classification model — trusted, unknown, and malicious — for automated traffic, arguing that a binary good/bad label is insufficient and that trust should be scoped to a specific identity, session, and action. The page describes threats such as prompt injection, goal hijacking, excessive permissions, and data exposure at a conceptual level.