Agent Systems Are Failing at Trust Boundaries. We Ran 332 Tests to Prove It.

Researchers have identified critical security vulnerabilities in AI agent systems through 332 adversarial tests, revealing widespread trust boundary failures across various deployment types. This matters because current frameworks lack built-in security mechanisms to prevent tool poisoning, delegation chain exploitation, and payment protocol manipulation, highlighting the need for robust adversarial testing before production deployment.

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