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.
Wondering if your code has any of this? Scan a public repo free, no account needed.
Scan a repo →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.