OpenAI's prototype pipeline, built on an upcoming cyber model, identified 2,308 candidate Linux kernel findings, dynamically reproduced 1,724 vulnerabilities, and produced 948 distinct local privilege escalation exploits with patches. The five-stage process—discovery, validation, exploitability assessment, patch generation, and human review—cost roughly $1.2 million in API credits, with successful exploits averaging $359 each. Scout agents narrowed the audit to 5,034 targets, about 7% of the kernel's codebase. OpenAI says hundreds of reports and patches for critical vulnerabilities have been sent, with maintainers patching 61 LPEs upstream within 10 days of the October 2026 scan.

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