Supabase RLS Audit for AI-Built SaaS Apps: What Actually Matters
Supabase can be a strong backend for an AI-built SaaS app, but row-level security is not a checkbox. If the policies are wrong, the product can look finished while customer data is exposed. Production-grade SaaS needs the access model verified against real tenant behavior.
The question is not whether RLS is enabled. The question is whether it protects the real tenant model.
A useful RLS audit reviews policies, service-role usage, storage rules, views, joins, edge functions, admin routes, and the actual user flows that touch sensitive data.
AI-built apps often ship tables before the access model is mature.
Lovable, Bolt, Cursor, Replit, and similar workflows can move fast with Supabase. That speed creates a specific risk: the app can have real users, real records, and real file storage before anyone has reviewed whether each user can only see what they should see.
RLS has to reflect the business rules. A solo founder app, multi-tenant SaaS, team-based dashboard, marketplace, and admin portal all need different policies. Copy-pasted rules are rarely enough.
- Users should not be able to query another tenant data by changing an ID.
- Team members should not inherit admin access unless the role model says so.
- Storage buckets need policies too, not only database tables.
- Views, RPC functions, and edge functions can bypass the protection founders think they have.
The audit should test the policy against real product behavior.
A good Supabase RLS audit is not just reading SQL. It checks the application paths that create, read, update, delete, export, upload, and administer data.
The review should include auth assumptions, anonymous access, authenticated access, tenant membership, owner permissions, admin permissions, storage paths, service-role calls, and what happens when a user is removed from an account.
- Confirm RLS is enabled on every table that stores customer or business data.
- Review policies for select, insert, update, and delete separately.
- Check service-role key usage and environment exposure.
- Test cross-tenant reads and writes from the app, not only the SQL editor.
If your prototype already works but the foundation feels risky, review it before adding more features.
We help founders turn vibe-coded and AI-built MVPs into safer, more maintainable SaaS products by checking architecture, authentication, RBAC/RLS, database exposure, payment states, deployment, logging, backups, and production blockers.
Rescue the product
For unstable MVPs, brittle AI-generated codebases, broken backend logic, or products that work in demo but fail under real users.
Audit the codebase
Get a senior engineering review that separates launch blockers, fix-first items, technical debt, and rebuild-vs-rescue decisions.
Check security risk
Before users enter data or pay, check auth, roles, row-level security, secrets, admin routes, webhooks, and deployment discipline.