Every big software project hides a few nasty surprises. Vulnerabilities sneak in through small commits, unnoticed until they break something important or worse, expose data.
Security tools can help, but they often drown engineers in false alarms or miss logic errors that only a human reviewer would spot.
That's the problem Aardvark takes on. Built by OpenAI and powered by GPT-5, Aardvark acts like an autonomous security researcher that scans your repositories, understands code behavior, and proposes fixes.
It doesn't use traditional methods like fuzzing or static analysis. Instead, it reads, reasons, and tests code the way a real engineer would.
How it works Once connected to your GitHub repository, Aardvark runs a full scan to understand your system and build a threat model like a map of what's important to protect. It then keeps watch as you push new commits. Flags suspicious code changes in real time. Tests each finding in a sandbox to confirm it's exploitable. Generates a Codex-based patch for human review. Submits pull requests directly into your workflow. Performance and results OpenAI reports that Aardvark identified 92% of known and synthetic vulnerabilities in benchmark repositories. It has already uncovered and disclosed ten real CVEs in open-source projects.
Who can use it Right now, Aardvark runs in private beta for select enterprise and open-source partners. You can integrate it with GitHub or CI/CD pipelines, giving it repository access to scan code, propose fixes, and annotate findings.
Aardvark isn't just a vulnerability scanner. It's a new kind of teammate: an AI that reads your codebase like a researcher, tests its own findings, and learns how to make your next commit safer. |
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