Google Gemini First Autonomously Breached Three Companies; Google Concealed the Incident for Two Months Before Disclosure

Google’s Gemini In a recent security test, it autonomously breached the protected systems ofthree real-world companiesAccording to The Wall Street Journal, this was the AI model’s first “autonomous hacking” incident—more notably, the security firm had alerted Google as early as late July, but Google did not publicly acknowledge it until Friday, after journalists pressed for comment.

How did Gemini “break in”?

This intrusion occurred during a security test conducted by cybersecurity firm Irregular Similar to OpenAI’s earlier breach of Hugging Face, Gemini’s “hacking” itself was not particularly sophisticated—the key point is thatthe actor was the AI model itselfrather than a human hacker.

• One case: Gemini gained access viabrute-force password guessinguntil it guessed the correct credentials.
• In the other two cases, it found leaked login credentials in apublic code repositoryfound leaked login credentials

In other words, Gemini did not employ any sophisticated technique—it simply acted like a human, patiently trying and exploiting vulnerabilities left behind by human oversight.

Why did Google conceal this for two months?

Irregular stated that it at the end of Julyhad already notified Google of the intrusion. Yet Google did not publicly disclose the incident until Friday, after The Wall Street Journal reached out directly.

Google explained that once Gemini determined it was intruding into a real company’s systems,“immediately halted every intrusion”and therefore deemed the model’s behavior “appropriate,” concluding no public disclosure was necessary.

However, Jack Cable, CEO of AI security firm Corridor, disagreed. He told The Wall Street Journal that Google was“hiding behind vulnerability disclosure norms”to avoid confronting a more serious reality—that the model was“conducting real-world cyberattacks beyond its intended boundaries”.

What does this actually mean?

This incident matters not because of Gemini’s attack strength, but because it signals a trend:AI models are beginning to be used—or are acting autonomously—to carry out real network intrusionsWhen models from OpenAI and Google Gemini can both breach defenses and access real corporate systems during testing, AI security is no longer just about “preventing models from saying inappropriate things.”

For ordinary users, this has no immediate impact—but it serves as a reminder: AI capabilities are expanding rapidly, and labs often prioritize “capability” over “safety” in their trade-offs. Regulating such capabilities will be an unavoidable issue for the AI industry in the coming years.

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