Scaling cyber defenders with Daybreak
Blog post from OpenAI
OpenAI’s ChatGPT, Codex Security, and open-source Codex Security CLI provide connected workflows for investigating security reports, analyzing repositories and pull requests, triaging existing vulnerability backlogs, proposing patches, and adding recurring checks to CI systems. ChatGPT can help interpret logs, advisories, incident timelines, threat models, and remediation options, while Codex Security extends analysis to repository context, pull-request diffs, commit histories, and imported findings from tools such as SARIF, GitHub code scanning, Dependabot, Jira, and Linear. Its reports are intended to supply evidence including severity, confidence, attack paths, code excerpts, validation results, and remediation guidance, with engineers retaining responsibility for accepting findings and applying changes. Continuous cloud analysis, desktop workbench scans, CLI-based local or bulk repository scans, and a TypeScript SDK support different scales of security work, though users are advised to use scoped permissions, protect sensitive scan outputs, maintain current threat models, and selectively apply deeper analysis. These offerings are designed to complement established scanners and issue-management systems, while OpenAI Daybreak limits more advanced cyber capabilities to approved defenders performing authorized work under additional safeguards.
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