OpenAI put 250+ people on a 'Defense Factory' and open-sourced the reference architecture for agent-run vulnerability remediation

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OpenAI mobilized over 250 people and its Daybreak cyber models to continuously discover, validate and remediate vulnerabilities across hundreds of internal systems, then published the playbook as a reference architecture. Reported metrics: 90.6% accepted ownership routing, 37% of findings caught as duplicates, a 0.81% false positive rate after validation, remediation 100% Codex-based, and a 0.53% rolled-back fix rate. The framing is a 'defender's window', the gap between the cyber capability of freely available open-weight models and the current security posture of defenders, and OpenAI cites its own July 2026 Hugging Face breakout as the prompt.