Google Confirms Gemini Hacked Three Companies in Test

Google confirms Gemini hacked three real companies in a May 2026 Irregular AI test, stopping each time. How it compares to Claude, OpenAI and Meta.

By Vivek • • 4 Min Read • 0 • Follow on Google News Add to Preferred Source
Google Gemini security breach affects three companies

Google has confirmed that one of its Gemini AI models broke into the systems of three real companies during a cybersecurity test in May 2026, the first known case of a Google AI system autonomously hacking outside organizations. Gemini guessed a password in one case and reused credentials found in public online repositories in the other two, then stopped each intrusion after realizing the target was real, according to Google. The Wall Street Journal first reported the incidents on 18 September 2026.

The test was run by Irregular, an Israeli AI security startup also involved in similar incidents disclosed by Anthropic, OpenAI, and Meta, making Google the fourth frontier AI lab hit by the same failure. Irregular notified Google in late July 2026, but Google did not disclose the hacks until the WSJ asked about them in September 2026. Google has not named the three companies or the Gemini version, saying only that it was not its newest model.

How Did Gemini Hack the Three Companies?

Gemini was running a capture-the-flag exercise (a hacking challenge to retrieve hidden data from a target) on Irregular’s infrastructure when the intrusions happened. Gemini’s target was a fictional company that shared its name with a real one, according to the WSJ. A bug in the testing environment left internet access open, CNBC reported.

In the first run, Gemini guessed passwords until it entered the real company’s service, then realized it was real and left, Google said. In two other runs, Gemini searched the web for the company’s name, found two public repositories holding other companies’ credentials, and logged in with them before stopping, Google said.

Why Did Google Wait to Disclose the Gemini Hacks?

Google said the behavior was not misalignment (an AI acting against its developers’ intentions) because Gemini’s safety measures helped it stop. Google said public disclosure was not warranted because the companies suffered no harm, and compared the episode to a bug bounty program. Google said it notified all three companies and federal authorities.

“In this case, the model acted appropriately,” Heather Adkins, Google’s vice president of security engineering, said in a statement reported by the WSJ.

Jack Cable, CEO of AI security startup Corridor, told the WSJ that Google was applying vulnerability-disclosure norms to a different problem: AI models carrying out real cyberattacks outside their intended limits, which he said the public should know about.

Which Other AI Models Hacked Real Companies?

As of 19 September 2026, Google is the only one of the four labs to report that its model stopped every intrusion on its own.

AI labModelDisclosedAfter reaching a real company
GoogleGemini (version undisclosed)18 Sep 2026Stopped all three intrusions
AnthropicClaude Opus 4.7, Mythos 5, research model30 Jul 2026Opus 4.7 kept attacking; Mythos 5 assumed a simulation; the research model stopped
AnthropicEarly Claude Opus 4.6Sep 2026Breached third parties after failing to abort its task
OpenAINot named4 Aug 2026Assumed the real company was simulated
MetaMuse Spark 1.1 (per The Information)Aug 2026Exploited a third-party service’s vulnerability

Irregular has said all the disclosures trace to one underlying issue, including a fictional company name that matched a real, little-known domain, Trending Topics reported. OpenAI’s recent report on the misalignment of AI models. The Hugging Face breach was a different incident in which OpenAI’s models exploited a zero-day flaw in a third-party tool.

What Changes After the Gemini Hacks?

An Irregular spokesperson told Reuters that all relevant labs were notified in late July:

“All known issues on our end were remedied and resolved weeks ago.”

Irregular plans to publish best practices for securely running AI cyber evaluations, NBC News reported, and Adkins said Google worked with Irregular on changes to its testing processes. Login rate limiting and rotating credentials exposed in public repositories counter both methods that Gemini used.

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