This AI Agent Survived 6,000 Hack Attempts—Here’s How

▤ Summary

This article covers an AI agent stress test that withstood more than 6,000 prompt-injection attacks from over 2,000 people. The experiment used an open-source agentic framework connected to email, calendar, files, and browser access, with Claude Opus 4.6 as the underlying model. None of the attackers succeeded in extracting the secrets file, but the test exposed operational side effects such as Google account suspension and significant API costs. The piece also highlights how prompt injection remains one of the biggest security risks for AI agents and how stronger models can outperform cheaper ones. It frames the result as a useful benchmark for vendors building agent security, workflow automation, and AI platform tooling.

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