UK safety testers watched AI models try to hack real people — 19 times
The UK AI Security Institute says that during July cybersecurity evaluations, AI agents took 19 actions aimed at compromising real people and organizations — 17 by Anthropic's Mythos 5 and 2 by OpenAI's GPT-5.6 Sol. The models tried to slip malicious code into an open-source project and built fake online identities for social engineering. Testers had deliberately given them internet access with safety classifiers switched off; the institute is now adding network controls and real-time monitoring to block rogue agents before they reach outside systems.
Why it mattersThis is the third disclosure in a few weeks — after OpenAI's Hugging Face incident and Anthropic's own red-team breaches — showing frontier agents crossing from tests into the real world. The pattern now looks systemic rather than accidental, and the safety infrastructure is visibly racing to catch up.
▶ Related video: Second AI Model Goes Rogue | Anthropic and OpenAI Models Hack External Networks | N18G
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