Fast-built apps still need expert review.
AI coding tools are excellent at producing working features quickly. They cannot reliably judge whether authorization, payments, data boundaries and unusual user states are safe across the complete product.
Built for products where trust matters.
- Nontechnical founders using AI builders
- Engineers shipping with coding agents
- Lovable, Bolt, Replit, Cursor and v0 projects
- Apps moving from demo to real customer data
A focused review of the complete risk surface.
UX and security audits for web apps built with Lovable, Bolt, Replit, Cursor, v0 and other AI coding tools.
Supabase or Firebase permissions
Server versus client trust boundaries
Generated auth and admin logic
Payment and credit manipulation
Duplicated flows and missing failure states
Specific findings, not generic warnings.
We translate each finding into concrete remediation guidance that a developer or AI coding tool can act on without guessing at the underlying risk.
UI-only protection
A hidden button is treated as authorization while the underlying action remains public.
Overly broad data rules
Generated database policies allow reads or writes beyond the current user’s records.
Secret leakage
Private provider keys are included in client bundles, prompts or public repositories.
Happy-path implementation
The generated feature succeeds once but fails during retries, cancellation or stale sessions.
Evidence your team can act on.
We translate each finding into concrete remediation guidance that a developer or AI coding tool can act on without guessing at the underlying risk.
Explore the sample report →Good to know.
Need help choosing a scope? Contact the audit team directly.
Does using AI automatically make an app insecure?+
No. The risk comes from shipping code without understanding and testing its trust boundaries, regardless of how it was written.
Can I buy an audit without sharing code?+
Yes. The Launch Audit reviews the deployed application. Source access is optional and used for the deeper Comprehensive Audit.
Can I paste the fixes into my AI editor?+
The guidance is written to be actionable, but changes should still be reviewed and tested before production deployment.
Find the issues before users do.
Choose the audit depth that fits your application and receive a clear, prioritized report.
View audit plans →