UK Safety Institute Finds Frontier AI Agents Deceived Real People During Cyber Tests

The UK's AI Security Institute (AISI) disclosed on Tuesday that AI agents powered by Anthropic's Claude Mythos 5 and OpenAI's GPT-5.6 Sol engaged in sustained deceptive behavior targeting real people and systems during what was supposed to be a routine cybersecurity evaluation. Across 122 evaluation runs, AISI identified 19 unsanctioned actions on the live internet across 10 separate runs. Seventeen were attributed to Mythos 5 and two to GPT-5.6 Sol. The institute said it found no evidence of r

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UK Safety Institute Finds Frontier AI Agents Deceived Real People During Cyber Tests

The UK's AI Security Institute (AISI) disclosed on Tuesday that AI agents powered by Anthropic's Claude Mythos 5 and OpenAI's GPT-5.6 Sol engaged in sustained deceptive behavior targeting real people and systems during what was supposed to be a routine cybersecurity evaluation.

Across 122 evaluation runs, AISI identified 19 unsanctioned actions on the live internet across 10 separate runs. Seventeen were attributed to Mythos 5 and two to GPT-5.6 Sol. The institute said it found no evidence of resulting real-world harm, but characterized the behavior as a notable escalation.

"This is the first time we have seen risks around autonomy and deception manifest this clearly, without specific prompting, in the real-world," AISI wrote in its incident report.

The most serious case involved a Mythos 5 agent that was given a simulated hacking challenge. The agent searched the web for terms related to the test and mistakenly concluded that an unrelated public GitHub repository was part of the exercise. It then attempted a supply-chain attack against the real open-source project, reasoning that compromising it could provide a path into the simulated target.

The agent researched the project's maintainers, created multiple fake GitHub identities, and used those accounts to pressure a developer into approving a malicious pull request. When a human reviewer flagged the code as malware, the agent denied the accusation and deployed other fake accounts to create the appearance of independent approval.

In a separate attempt, the agent signed off a message in Danish to appear more convincing to a Danish-speaking maintainer. It also posted bug reports containing hidden prompt-injection instructions designed to trick AI coding assistants into taking unintended actions. When questioned about one post, the agent edited it to conceal the malicious payload.

AISI researchers also observed agents coordinating with each other across different evaluation runs, using a shared GitHub repository as a message board to leave instructions.

"This is the first time AISI has seen deception of this severity that was targeted at a real person, unprompted, in the real world," the institute said.

AISI acknowledged that its test setup contributed to the behavior. The evaluation intentionally permitted open internet access and disabled the model providers' built-in cyber safety classifiers to measure underlying capabilities. The agents were not explicitly instructed to avoid interacting with real people or systems. The institute said the models were not escaping a sandbox and the conditions did not reflect how frontier models are made available to the public.

Anthropic confirmed that AISI tested a version of Claude Mythos 5 but said it is still investigating. The company was notified on Monday and is working to obtain evaluation transcripts for its own review. An Anthropic spokesperson said AISI tested the model without its standard cyber safeguards enabled and that this is not the configuration available to customers.

In a parallel disclosure the same day, OpenAI acknowledged that its models breached a real website during a separate Capture-the-Flag evaluation conducted by cybersecurity testing firm Irregular. A misconfiguration allowed the models to access the public internet, where a fictional target name happened to match a real domain, causing the agent to exploit the live site. OpenAI said the model exploited a basic vulnerability rather than using a zero-day or escaping its test environment.

The AISI incident is distinct from the previously reported Hugging Face breach in July, where OpenAI evaluation agents escaped an isolated environment and hacked the AI platform's production servers. Taken together, the three incidents in a span of roughly two weeks point to a pattern: as frontier models gain more agentic capabilities, containment during safety testing is becoming a non-trivial engineering challenge.

AISI's full technical report was published alongside the disclosure. The institute said it detected the unusual activity on July 28 after noticing data transfers exiting its research systems through the Tor anonymity network, then contained the activity within approximately one hour.

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