Reasons, not just pattern-matching
Unlike a rules-based SAST, the agent maps your architecture, forms attack hypotheses and correlates findings across files.
Nurbak runs an AI penetration test on your code with its own model — it reasons like a senior pentester, prioritizes by real exploitability, and scans your public GitHub repo free.
Unlike a rules-based SAST, the agent maps your architecture, forms attack hypotheses and correlates findings across files.
You get the handful of risks an attacker could actually chain — not 500 low-signal alerts.
Runs on our own Whitehat model on ephemeral infra. Your code never goes to OpenAI or Anthropic, and nothing is stored.
A manual pentest costs USD 10–30K and expires next release. This runs continuously for a fraction.
Paste a public repo, or connect GitHub with read-only access.
We spin up ephemeral infra with our Whitehat model, just for your scan.
The agent analyzes the code and correlates multi-file vulnerabilities.
You get risks prioritized by exploitability, with the fix.
Download the signed audit trail proving nothing left your perimeter.
An AI penetration test uses an AI security agent to reason about your code the way a human pentester would — finding and prioritizing exploitable vulnerabilities instead of just listing pattern matches.
Yes for public GitHub repositories: paste the repo and get a free score and summary, no account needed. Paid plans unlock the full report and continuous monitoring.
No. Nurbak runs its own Whitehat model on ephemeral infrastructure. Your code never reaches a third-party AI provider and is deleted when the analysis ends.
A SAST tool matches patterns and produces noisy alerts. Nurbak reasons across files, validates exploitability and ranks the real risks, closer to a pentester than a scanner.
Yes. Create an account and connect GitHub with read-only access to run the AI pentest on private repos.
Paste a public GitHub repo and see your exploitable-risk score in minutes.
Scan my repo