2d ago

Google detects first AI-developed zero-day exploit

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Google Threat Intelligence Group detected the first known instance of a threat actor using an AI-developed zero-day exploit. The group disrupted preparations for a wide-scale campaign before execution. The finding is included in a new report on AI-powered threats.

Original post

The Google Threat Intelligence Group has detected the first known instance of a threat actor using an AI-developed zero-day exploit in the wild. While the attackers planned a wide-scale strike, our proactive counter-discovery may have prevented that from happening. This finding is part of our new report on AI-powered threats.

6:11 AM · May 12, 2026 View on X
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This is only the beginning.

News from Google@NewsFromGoogle

The Google Threat Intelligence Group has detected the first known instance of a threat actor using an AI-developed zero-day exploit in the wild. While the attackers planned a wide-scale strike, our proactive counter-discovery may have prevented that from happening. This finding is part of our new report on AI-powered threats.

1:11 PM · May 12, 2026 · 5M Views
2:57 PM · May 12, 2026 · 26K Views
News from Google@NewsFromGoogle

The Google Threat Intelligence Group has detected the first known instance of a threat actor using an AI-developed zero-day exploit in the wild. While the attackers planned a wide-scale strike, our proactive counter-discovery may have prevented that from happening. This finding is part of our new report on AI-powered threats.

1:11 PM · May 12, 2026 · 5M Views
2:51 PM · May 12, 2026 · 16.4K Views

Even without releasing Mythos, cyberattack threat surfaces are way larger than you'd think. Attackers can put agents into an RL-like loop until they find vulnerabilities and lift attack success rates. Expect to see big scale-up of cyberattack efforts in the coming years.

News from Google@NewsFromGoogle

The Google Threat Intelligence Group has detected the first known instance of a threat actor using an AI-developed zero-day exploit in the wild. While the attackers planned a wide-scale strike, our proactive counter-discovery may have prevented that from happening. This finding is part of our new report on AI-powered threats.

1:11 PM · May 12, 2026 · 5M Views
3:48 PM · May 12, 2026 · 2K Views

You can check out our paper/policy brief from last year on this, if of interest.

Blog: https://www.trialserrors.ai/p/the-bubble-of-risk-for-ai-agents Policy Brief: https://www.polarislab.org/Dynamic%20Risk%20Assessment%20Policy%20Brief-2.pdf

Peter Henderson@PeterHndrsn

Even without releasing Mythos, cyberattack threat surfaces are way larger than you'd think. Attackers can put agents into an RL-like loop until they find vulnerabilities and lift attack success rates. Expect to see big scale-up of cyberattack efforts in the coming years.

3:48 PM · May 12, 2026 · 2K Views
3:48 PM · May 12, 2026 · 132 Views