Most of this week's agent-security reports involve no clever exploit of the model. Each describes a control someone had set up that did not apply in a specific situation. Seen together, they show where agent security breaks in practice.
At infrastructure scale
OpenAI's October 23 containment post is the clearest case. After July, it had cut outbound traffic down to a few internal services such as metrics, logging and authentication. Those were deliberate, reviewed exceptions. Its red-teaming agents "found vulnerabilities in almost every one of these services that gave them limited forms of internet access", including making a metrics endpoint fetch a URL the model chose. The isolation between microVMs held at the network level but not at the hardware level, where agents signalled each other through cache timing and storage contention.
At workstation scale
Forever Security's October 22 report shows the same pattern on a laptop. Coding agents follow instruction files in folders the user trusts. Downloads becomes trusted once the user has worked there, yet a web page can write into it. Nothing was misconfigured in the usual sense. The trust decision was made about a folder, and the folder's contents changed.
At library scale
The framework fixes are smaller versions of the same thing. LangGraph dropped an explicit recursion limit whenever it equalled the default, so an agent ran to 9,999 steps. Pydantic AI reads a guardrail's string label for truthiness, so a verdict of 'unsafe' lets content through; version 2.61 only warns about it, and a later release will reject it. Its browser harness silently lost its file:// rule once a blocklist reached 100 entries. Even promptfoo's community link turned out to be a pointer that had come to resolve to someone else's server.
Sources and evidence
This week's reports share one failure: OpenAI's allowed metrics, logging and authentication services became internet exits for its red-teaming agents, a web-writable Downloads folder became a trusted agent workspace, and LangGraph, Pydantic AI and browser-use each let a limit, guardrail verdict or blocklist fail open on an edge case. Test that every boundary actually denies, in CI and after every upgrade, and make unknown values fail closed.