AUTOMATED PENETRATION TESTING
Manual pentesting is slow, expensive and only happens once in a while. Nurbak automates it: an AI pentester finds the exploitable vulnerabilities in your code and APIs in minutes, and keeps testing on every change. Free scan to start.
Create account and connect GitHubWe never store your code. We only write when you ask for a fix PR.
The AI thinks about how your code can be attacked, catching logic and chained bugs a signature scanner never sees.
Automated means it can test continuously, so new code is pentested the day it lands, not next year.
It validates whether a flaw is actually reachable before reporting it, so you fix real risk instead of triaging alerts.
Runs on our own model on ephemeral infra; your code and APIs never reach a third-party AI and aren't stored.
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Our Whitehat model spins up on ephemeral infra.
The agent reasons across your code and APIs for exploits.
You get exploitability-ranked findings with fixes.
On a plan, every change is pentested automatically.
It uses software (here, an AI pentester) to find exploitable vulnerabilities the way a human pentester would, but in minutes and continuously. Nurbak reasons about your code and APIs and reports real, exploitable issues with fixes.
It catches the exploitable vulnerabilities a manual test would find on code and API logic, far faster and continuously. For attestation some teams still add a periodic human pentest; automation is the always-on first line.
Yes. The free scan works on any repository: you see your security score and the 3 most important findings in full, plus 1 fix Pull Request on us. Paid plans unlock the full report and continuous monitoring.
On our own Whitehat model on ephemeral infrastructure. Your code and APIs are deleted after each run and never reach a third-party AI provider.
A vulnerability assessment finds and ranks as many weaknesses as possible. A penetration test proves what an attacker can actually do with them. Here is a clear comparison (goal, depth, exploitation, frequency, automation, cost and output), when to use each, and how continuous code-level assessment fits between pentests.
See what an AI pentester finds in your code and APIs in minutes.
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