Every unpatched vulnerability sitting in your codebase right now is a countdown, not a question.

Security teams are drowning in CVEs they will never get to

Manual vulnerability research means security engineers spend hours triaging noise, chasing false positives, and writing remediation notes that developers ignore. The backlog grows faster than any human team can clear it.

An AI researcher that works the queue while your team sleeps

Introducing Aardvark takes your codebase or target scope as input, then autonomously identifies vulnerabilities, validates them to filter out false positives, and surfaces fix recommendations in a structured report. You define the scope, it runs the investigation, and you receive findings ready for triage — not raw scanner output that still needs a human to interpret.

The people feeling this bottleneck the hardest

• Security engineers who spend more time confirming findings than finding new ones, and need validated results without the manual verification step
• AppSec leads at mid-size companies who are responsible for securing codebases too large for their current headcount
• Penetration testers running time-boxed engagements who need initial recon and triage done before the billable clock runs out

The common thread is scale: too much surface area, not enough hours.

AI agents just moved from chat assistants to autonomous security operators

The broader vulnerability management market is worth over $13 billion, and tools like Snyk and Semgrep have already shown that developers will pay to shift security left — but neither runs autonomous end-to-end investigations the way Aardvark is positioned to. If OpenAI ships this at scale, it changes what a lean security team can reasonably own.

What you can actually do with it

• Submit a codebase and receive a prioritized list of validated vulnerabilities
• Run autonomous validation to eliminate false positives before human review
• Export fix recommendations directly into your existing remediation workflow
• Join the private beta to test against your own environment before public release

Aardvark is currently in private beta — sign up on OpenAI’s site to request early access.

Pricing

Pricing not listed — check our directory.

The part worth knowing before you get excited

Autonomous vulnerability discovery is only as trustworthy as the model’s understanding of your stack, and private beta means real-world coverage gaps are still being found.

If you are already using something else

Semgrep handles static analysis well but stops short of autonomous validation and fix generation. GitHub Advanced Security integrates tightly with existing repos but requires significant configuration to go beyond surface-level scanning.

Autonomous security tools are replacing the entry-level analyst role

This shift is accelerating faster than most security hiring managers have planned for. We cover tools like this every Friday — subscribe here and we’ll send the best ones straight to you.