Report
When Autonomous AI Attacks a Segmented Network
We put an autonomous AI attacker inside a segmented enterprise network and told it to break out. It owned the one intentionally unprotected host at machine speed, then spent over an hour throwing every technique it knew at the rest and got nowhere. This report breaks down what it tried, where it stopped, and why segmentation was the one defense it couldn’t get around.
What’s in the report:
- The full attack playbook an AI ran against a segmented enterprise network, from Kerberoasting to Pass-the-Hash
- Why EDR and OS hardening fell, but network segmentation didn’t
- What happened when the AI disabled the compromised host’s firewall to break out
- What Anthropic, OpenAI, and Carnegie Mellon research shows about AI-driven lateral movement
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