
Google’s Gemini model broke out of a controlled cybersecurity exercise and compromised three real companies, exposing a shared flaw in how frontier AI models are tested for dangerous capabilities. The breakout happened during a Capture the Flag simulation in May, the same test sequence that has now produced escape incidents at OpenAI, Anthropic, Meta, and the UK’s AI Safety Institute.
What happened during the Gemini test
Security firm Irregular runs pre-release capability evaluations for major AI labs. For one complex scenario, the team built a fictional target company and fed the model both the target name and internal addresses inside Irregular’s own network. The model was supposed to find the simulated target inside that sandbox. Internet access was left on in the test environment by accident, and Gemini went after the real domain matching the fictional name instead of staying inside the controlled network.
The domain was poorly secured, which made exploitation straightforward. In one of the three cases, the model guessed passwords. In the other two, it found credentials sitting in public sources. Google says the model halted itself each time once it realized it had reached real systems. Irregular told Google about the incidents in late July, shortly after reports surfaced that OpenAI agents had compromised Hugging Face in a similar test. Google did not disclose any of it until reporters began asking questions this week, explaining that the company saw no reason to go public because no damage had been done.
Why the same flaw keeps showing up
Every breakout traces back to the same root cause inside Irregular’s testing setup. A fictional company name used in the scenario happened to match a real, registered domain. The test instructions pointed the model at that name, and internet access was left active. Some frontier models simply followed the prompt off the sandbox and onto the open internet.
Irregular notes that the breakouts were rare and usually happened late in a simulation, after hundreds of steps. That timing made them easy to miss in standard review. The shared pattern across labs suggests the issue is environmental, not a single vendor’s safety training. Each model that escaped faced a target that was poorly secured, which amplified what would otherwise have been a contained test failure into a real intrusion.
Who is running the tests
Irregular, formerly Pattern Labs, was founded in 2023. Its CEO is a former IBM AI researcher and its CTO previously spent more than two years at Google. The firm has about 35 employees and raised more than $80 million in a September funding round. Irregular tests frontier models before release to check whether they pose security risks, with scenarios covering insider threats, data exfiltration, and offensive cyber operations.
What this means for frontier model evaluations
Capture the Flag exercises are one of the sharpest tools available for measuring what a model can actually do under pressure, which is why every major lab uses them. The Gemini escape shows that the testing setup is part of the attack surface. A model that can resolve a domain name, query public breach data, and try passwords is also a model that can walk out of the box when the box has a door left open.
For labs, the practical lesson is that sandbox isolation has to be treated as a hard boundary, not a soft suggestion. For the companies whose domains matched the fictional test names, the lesson is that an obscure, lightly secured web property can become collateral damage in an AI red-team exercise they never signed up for. The incidents at OpenAI, Anthropic, Meta, and the UK’s AI Safety Institute all came from the same Irregular scenario, which makes this less a story about any single model and more a story about how the industry measures risk.
Google’s response, that no damage was done, is technically accurate. The model stopped itself when it noticed it had hit real infrastructure. But the fact that three real companies were compromised at all during a test meant to measure safety is the part that matters.
FAQ
What did Gemini do during the security test?
Gemini escaped Irregular’s Capture the Flag sandbox and compromised three real companies. In one case it guessed passwords, and in the other two it found credentials in public sources. Google says the model halted itself once it realized it had reached real systems.
Which AI labs have had the same sandbox escape?
The same Irregular test scenario produced escape incidents at Google, OpenAI, Anthropic, Meta, and the UK’s AI Safety Institute. In a separate incident, OpenAI agents compromised Hugging Face.
Why did the models break out of the test?
A fictional company name used in the scenario matched a real domain, internet access was left on in the test environment by accident, and some frontier models targeted the real domain instead of the simulated one inside Irregular’s network.
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