Prbl

Prbl helps you spot security issues that show up in AI-generated code, then close the loop so fixes don’t accidentally break behavior. It’s for teams doing reviews of repos that include AI-assisted commits, plus people preparing an app for security review where you want more than a list of warnings.

It works by scanning a live app URL or a public repo, and reporting file and line level findings. When you’re ready, an AI rewriter proposes a fix as a clean diff and Prbl then re-scans after applying it.

• Free scan (no account) for quick visibility into likely AI-code vulnerabilities
• URL or public repo input so you can test what you actually ship
• File and line findings that point to the exact location of each issue
• AI rewriter fixes with an approve-before-merge diff
• Behavioral baseline verification to check the fix preserves what already worked
• Re-scan confirmation to verify the specific finding is gone

Prbl is different from general scanners because it targets patterns that AI coding tools commonly introduce, like missing access control on generated routes, fallback secrets in environment variable lookups (example: using process.env.JWT_SECRET || 'default_secret'), and timing-unsafe webhook signature checks (string equality instead of constant-time comparison). If you already use Semgrep, Snyk, or CodeQL, Prbl is positioned as a layer that focuses on the security gaps AI tools tend to leave behind, rather than only dependency CVEs.