Now in private beta: Aardvark — an agentic security researcher that helps security teams discover and fix vulnerabilities at scale. Aardvark puts frontier research to work. It reads, reasons about, and tests code, catching subtle vulnerabilities and privacy issues traditional tools often miss. Then it proposes targeted fixes, helping teams secure software before issues ever reach production. Aardvark is already delivering impact — surfacing meaningful vulnerabilities across OpenAI and open-source projects — and we believe access to this level of security expertise should scale. We’re starting with a private beta and will broaden availability as we learn and refine. https://lnkd.in/g87huHSJ
Wild coincidence: a small Italian startup is building the same kind of tool—but model-agnostic, integrating any LLM via API. It’s called U-PROMPT a multi-LLM orchestration with step-prompting and agents that read, reason about, and test code. Same spirit as Aardvark, GDPR-first. Happy to compare notes!
Summary: Aardvark scans repositories, analyzes commits, validates issues in a sandbox, and even proposes one-click fixes through GitHub integration. Currently in private beta, Aardvark is already detecting real security flaws in OpenAI and open-source projects, aiming to make the software ecosystem safer.
Could you please explicitly update here in this post about data retention, data residency and other policies related to the usage of data people input this tool? It will make everyone comfortable and help for an informed decision about using this tool for testing their sensitive codes.
You just know some folks are going to let AARDVARK root through their sensitive repos, containing their IP, looking for digital termites and ants and then OpenAI will use that to refine their models. There is so much wrong with this, and not just from a technical / security perspective. If you don't trust humans, just take a moment and use ChatGTP to ask it about OpenAI and AARDARKS control over accidental data exposure of sensitive IP.
AI that can find vulnerabilities faster than humans is not just security — it's power. The real question now is: who watches the AI that watches everything? — Artur Walisko | LLM Studio
This is a remarkable move toward the convergence of AI reasoning and cybersecurity intelligence. Aardvark’s approach—reading, reasoning, and proposing targeted fixes—illustrates how AI can act as a true collaborator in safeguarding digital ecosystems rather than just a detection tool.
Impressive on generation, but this highlights the real bottleneck: human validation. The true disruption isn't AI writing code. It's AI reviewing its own code against complex architectural principles. This is the shift from 'AI-assisted' to 'AI-led'. As leaders, we must now plan for a future where we don't hire engineers to review work, but hire a few architects to define goals for these autonomous agents.
Impressive work. Applying agentic validation models like this to IIoT or Pharma systems could close long-standing gaps between cybersecurity, data integrity, and compliance. Curious how it will evolve.
Learn more about applying for our private beta: https://openai.com/form/aardvark-beta-signup/