# OpenAI — Cloudflare links vulnerability discovery to defense with OpenAI

- Company: OpenAI (openai.com)
- Announced: 2026-10-21
- Category: not stated
- Coverage: not counted
- Announcement: no
- Group: routine
- Source: https://openai.com/index/cloudflare-cyber
- Record: https://forck.live/items/26269-cloudflare-links-vulnerability-discovery-to-defense-with-openai
- Subject: GPT / ChatGPT / API

Cloudflare is using OpenAI models through Daybreak to investigate vulnerabilities in customer-authorized code and propose fixes for customer review. The early-access service, Vulnerability Discovery and Remediation, is offered through Cloudflare Managed Defense and pairs model findings with live traffic and security signals. Cloudflare says security teams struggle to sift through vulnerability data because they lack the people and time to act on it. The service checks whether an affected route is active, whether it is receiving suspicious traffic, and whether existing controls already protect it. Cloudflare prepares proposed code patches and, where appropriate, custom web application firewall rules to reduce exposure while developers review a fix. Automated checks and Cloudflare's own team review the proposals before they reach customers, who keep control over which changes to implement. Codex is also used across Cloudflare's engineering organization; Anderson says a team of four rebuilt a postponed product in three days for $1,100 in tokens.

## Evidence

Verbatim from https://openai.com/index/cloudflare-cyber:

> Through Vulnerability Discovery and Remediation ⁠ (opens in a new window) , Cloudflare uses OpenAI models accessed through Daybreak to investigate customer-authorized code, identify potential vulnerabilities, and check the evidence supporting each finding. The service prepares proposed code patches and, where appropriate, custom web application firewall rules to reduce exposure while developers review a fix.

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Record: https://forck.live/items/26269-cloudflare-links-vulnerability-discovery-to-defense-with-openai
Catalogue: https://forck.live/llms.txt
Current issue: https://forck.live/feed.md
