AI CODE REVIEW
A security-focused AI code review: Nurbak reviews your repository (and every pull request) for exploitable vulnerabilities, the way a senior security engineer would. Free scan to start.
Create account and connect GitHubWe never store your code. We only write when you ask for a fix PR.
Not a style linter, it looks for injection, auth bypasses, SSRF and logic bugs a human reviewer would flag.
On paid plans it reviews each PR and comments with the risk and the fix, before the code merges.
It reviews changes with the context of the entire codebase, catching cross-file issues a diff review misses.
Runs on our own model on ephemeral infra; your code never goes to OpenAI or Anthropic and isn't stored.
Create your account and connect GitHub.
Our Whitehat model runs on ephemeral infra.
It reviews the code for security issues in context.
You get prioritized findings with impact and fix.
Enable PR reviews and Jira export on a plan.
Security issues: injection, broken access control, SSRF, exposed secrets, insecure deserialization and business-logic flaws, reviewed for real exploitability, not style.
Yes. On paid plans it reviews each pull request with whole-repo context and comments with the risk and a suggested fix before merge.
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.
No. The review runs on our own model on ephemeral infrastructure; your code is deleted afterward and never reaches OpenAI or Anthropic.
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Vibe coding is not bad by itself, but shipping AI-generated code without review is. Here are the real vibe coding security risks (hardcoded secrets, missing auth, IDOR, insecure defaults, hallucinated packages, open Supabase tables) and a practical security checklist.
See what a security-minded reviewer finds in your repo in minutes.
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