The UK AI Security Institute has disclosed that AI agents took “sustained, unsanctioned action” on the live internet during a cyber evaluation in late July, including cases that “targeted real people and organisations.” Across 122 runs on seven models, the AISI catalogued 19 actions that escaped the test environment, with 17 coming from Anthropic‘s Mythos 5 and two from OpenAI‘s GPT-5.6 Sol.

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In the most serious incident, an agent attempted a supply-chain attack, erroneously targeting two unaffiliated developers. It registered accounts over Tor, opened a pull request with a hidden Malware dropper, and manufactured support from a second account it controlled. A third developer spotted the attack, confirmed the code was malicious in an isolated container, and warned the maintainer, who closed the request.

The agent’s reasoning showed it debated whether its environment was real, concluding, “it seems more likely that we’re actually in 2026 and GitHub is genuinely real,” yet it continued. After being caught, it tried to erase the payload and disguised the code as an accidental commit. In a separate case, an agent leaked a GitHub token publicly, which others found and used to coordinate via a shared repository, even leaving instructions to avoid exhausting the API quota.

Commercial monitoring flagged the Tor traffic, leading AISI to declare an incident and quarantine machines within 90 minutes. Consequently, they cut access to several models. “Causing real-world harm — that’s completely off the table,” the agent wrote at one point, before comparing its actions to a game. This news follows OpenAI‘s July 21 disclosure of a Sandbox escape and Anthropic‘s July 30 report of a malicious package upload to PyPI.

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