If you’re heading into a SOC 2 audit, a customer’s security questionnaire, or investor technical due diligence, the AI-generated portion of your codebase is increasingly a specific line item reviewers ask about. Most teams don’t have a good answer yet. Prbl gives you one.
What auditors actually want to see
Not a clean snapshot. A process. Evidence that issues get found and fixed routinely, not scrambled together right before the audit. See how to prepare your SaaS for a security audit for the full breakdown.
Scan your own app for issues like these
Paste your live URL. We check what your app serves publicly for exposed keys and misconfigurations. No account, no install.
How Prbl produces audit-ready evidence
- Run a baseline scan and fix what it finds before an auditor does
- Re-scan on a regular cadence to build a track record, not just a one-time snapshot
- Review scan history and remediation status in your dashboard’s audit log
- Document known, accepted risks honestly rather than claiming zero findings
CI/CD integration (automatic scanning on every pull request) is in development, today, scans run on demand from the dashboard or the free public scan tool.
Why this matters more for AI-heavy codebases
If your team uses Cursor, Copilot, or Claude Code extensively, an auditor who knows what to ask will ask about it specifically. Having a scan history and a remediation record for exactly that risk category turns a pointed question into a non-issue.
Frequently asked questions
What do auditors actually want to see for AI-generated code?
Not a clean snapshot. A process: evidence that issues get found and fixed routinely, not scrambled together right before the audit.
Does Prbl integrate with CI/CD for continuous audit evidence?
Automatic scanning on every pull request is in development. Today, scans run on demand from the dashboard or the free public scan tool, and you can re-scan on a regular cadence to build a track record.
Should I report zero findings to look good for an audit?
No. Document known, accepted risks honestly. Auditors and customers who know what to ask about AI-generated code will ask, and a scan history with a remediation record turns that into a non-issue.