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Chronicles

The story behind the story

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A look at OpenAI's Project Daybreak, which lets vetted partners use its top hacking models to find and fix vulnerabilities and helped uncover PHP2Shell RCE bugs

This voice experience is generated by AI.  Learn more.  —  Using the latest GPT model, cyber researchers …

Forbes Thomas Brewster

Context & Ripple Effects

OpenAI launched Daybreak in May as a security program combining its models with Codex Security for vulnerability discovery, validation and patching. It then separated access into Daybreak Blue and Red tiers, distinguishing frontier-model access from purpose-trained cybersecurity models.

The PHP2Shell findings give that program a concrete test: access for vetted partners is being tied to finding and remediating flaws in widely used software. OpenAI had also described GPT-Red’s automated prompt-injection testing as an internal effort to surface weaknesses before broader deployment.

First-order effects

  • Vetted Daybreak partners gain access to OpenAI’s highest-capability hacking models for vulnerability research and remediation, while OpenAI retains a controlled distribution channel for those capabilities.
  • The PHP2Shell RCE bugs demonstrate that the program can contribute to identifying serious flaws rather than limiting its work to model testing.

Second-order effects

  • Open-source maintainers and security teams face a faster flow of AI-assisted findings, increasing the operational importance of validating reports, coordinating disclosure and shipping patches.
  • OpenAI’s tiered Daybreak structure makes access governance part of the product: competitors offering cyber-capable models will be judged on both research performance and controls over who can use them.

Third-order effects

  • If AI-assisted discovery continues to accelerate, vulnerability management shifts from periodic human-led review toward continuous triage and remediation pipelines.
  • The same capabilities that improve defensive research also reinforce the need for governed access, because AI is already lowering barriers to conducting cyberattacks.

The trend: Cybersecurity is moving toward controlled deployment of frontier code models, with model access, disclosure practices and patch capacity becoming inseparable parts of defense.

Discussion

  • @widfiretoad @widfiretoad on x
    Project Daybreak is huge and never sent before, OpenAI committed 1bn to this initiative to save the internet from cybercrime. Cyber meta and giga https://openai.com/... https://www.forbes.com/... 2E5dhmsdy5cSrBFTuhTFHGzmUZrx1hhpT4tx6EJ wpump
  • Thomas Brewster Thomas Brewster on linkedin
    🚨SCOOP🚨 Over the last 2 months, OpenAI's hacker lab coordinated disclosure of *those* PHP bugs. …
  • @thomasbrewster Thomas Brewster on bluesky
    OpenAI's head of cyber research tells me his team are using AI to find 100 vulns every day.  —  “Many are finding in a week, or in a day, bugs that previously they would have been super excited about finding one a year.”  —  Expect repeats of this week's PHP mania soon.  —  www.f…
  • r/technews r on reddit
    AI Hacks Are Coming Thick and Fast and Overwhelming the Internet |  Criminals are turning to next-generation, AI-powered hacking tools as a serious internet flaw gives birth to ‘Black October’
  • @iblametom Thomas Brewster on x
    🚨NEW🚨 Over the last 2 months, OpenAI's hacker lab coordinated disclosure of *those* PHP bugs. I got an inside peak at that team's work, hearing about the 100s of other wild flaws OpenAI's models are finding daily. Things like Chrome 0-click 0days... https://www.forbes.com/...
  • Thomas Brewster Thomas Brewster on linkedin
    🚨SCOOP🚨 Over the last 2 months, OpenAI's hacker lab coordinated disclosure of *those* PHP bugs. …
  • r/technology r on reddit
    AI Hacks Are Coming Thick and Fast and Overwhelming the Internet |  Criminals are turning to next-generation, AI-powered hacking tools as a serious internet flaw gives birth to ‘Black October’