Free guide
25 mistakes AI coding tools still make in production.
The exact methodology we use on every engagement, freely available. Six categories, twenty-five concrete vulnerabilities: why they happen, how to test for them, how to fix them.
01
Row-Level Security (RLS) and data access control
02
Exposed secrets and keys
03
Storage buckets
04
Authentication and session management
05
API surface and input validation
06
Third-party integrations and AI-specific risks
What's next?
Just spotted one of these in your own project?
This list is our testing methodology, condensed. A full review goes further: manual access, prioritization by business impact, and a report you can hand straight to your team.