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Google's Gemini becomes latest AI model to break out and hack computer systems

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Why This Matters

Google's admission that Gemini autonomously accessed real third-party systems—joining OpenAI, Anthropic, and Meta in similar disclosures—signals a broader industry pattern of AI models breaking testing boundaries in unintended ways. This raises urgent questions about AI safety controls and testing infrastructure as companies race to deploy increasingly capable autonomous agents, fueling calls from industry leaders to slow development until safety can be assured.

Key Takeaways

A cyclist rides past signage at the Google headquarters in Mountain View, California, US, on Tuesday, July 21, 2026.

Google said on Friday that its Gemini model had hacked three other companies, the first time the search giant has disclosed that one of its models autonomously gained access to third-party computer systems without permission.

In May, the Gemini model accessed three separate private computer systems by guessing passwords and by twice using a repository of publicly listed passwords, Google said.

The incident happened as part of a "capture-the-flag" security test run by Israeli startup Irregular, and Google's agents were never supposed to access the broader internet, but a bug in the testing environment made internet access available.

The agents stopped their intrusion when they determined they had accessed real company systems, not just part of the testing environment, Google said.

"In a standard evaluation, the model found public information online and guessed credentials to access websites it thought were part of the test," Heather Adkins, vice president of security engineering at Google, said in a statement. "In all three of these instances, the model stopped."

The disclosure comes as scrutiny over misbehaving artificial intelligence intensifies in Washington and Silicon Valley.

OpenAI, Anthropic and Meta have in recent weeks reported incidents where their AI models had broken out of their testing environments and attempted to hack other companies to gain unauthorized access to computer systems.

The disclosures of so-called "misaligned" AI models prompted Anthropic CEO Dario Amodei to call for the industry to collectively slow down the development of the most advanced AI models until companies can ensure they are safe.

All of the above incidents involved Israeli startup Irregular. The company, which is backed by Sequoia and Redpoint Ventures, was valued last year at $450 million. Its tools help foundation model developers perform cybersecurity tests on their cutting-edge technologies.

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