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Update
What changedOpenAI says its Scout agents first narrowed the Linux kernel search to code reachable by a low-privileged user. They selected 5,034 audit targets, covering about 2.8 million lines of code, or roughly 7% of the kernel, according to CyberSecurityNews.
Analyst agents then produced 2,308 candidate findings in 12 hours. Those were leads, not confirmed flaws: the report says later triage agents tested findings in isolated virtual machines, and OpenAI’s researchers reviewed results before reporting them.
That gives a clearer view of how the company says it scaled the work: first narrow the search, then test a large batch of candidate bugs. The figures and process are OpenAI’s account as reported by CyberSecurityNews, not an independent audit of the run.
Sources and evidence- OpenAI Cyber Model Uncovers 948 Linux Kernel Privilege Escalation Vulnerabilities – CyberSecurityNews: CyberSecurityNews reports that OpenAI’s Scout agents selected 5,034 Linux kernel audit targets, covering about 2.8 million lines or 7% of the kernel, and that Analyst agents generated 2,308 candidate findings in 12 hours.
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