Cloudflare links vulnerability discovery to defense with OpenAI
Cloudflare uses Daybreak to investigate vulnerabilities and draft fixes for human review, while developers use Codex for implementation work. The key pattern is review-gated security automation.
Cloudflare uses **OpenAI Daybreak** to investigate vulnerabilities and propose fixes for review. Its developers also use **Codex** to accelerate coding and improve code quality.
Security teams using coding agents should preserve the review gate: let agents investigate and draft patches, then require a developer to assess the proposed change.
Cloudflare uses **OpenAI Daybreak** to investigate vulnerabilities and propose fixes for review. Its developers also use **Codex** to accelerate coding and improve code quality. Security teams using coding agents should preserve the review gate: let agents investigate and draft patches, then require a developer to assess the proposed change. The material reports no vulnerability counts, acceptance rate, review burden, or evidence quantifying the claimed speed and quality gains.
Cloudflare adds another security workflow in which agents investigate vulnerabilities and draft fixes while humans retain approval authority. It reinforces review-gated autonomy rather than just general coding adoption, but the lack of counts, acceptance rates, and review-cost data means it cannot show whether the workflow scales efficiently or improves security outcomes.