AI-built app security checklist

The security checklist for AI-built apps before real users.

AI coding tools ship working features faster than they ship a working security model. This checklist covers the items that actually expose customer data or run up bills: auth, database rules, secrets, admin routes, webhooks, uploads, and audit logging.

What should be on an AI-built app security checklist?

Start with database access rules

Confirm that one user cannot read or write another user's rows. With Supabase, this means Row Level Security is enabled on every table and the policies are scoped to the authenticated user. This is the single most common critical failure in AI-built apps.

Then lock down secrets and routes

No Stripe, OpenAI, or service-role keys in the client bundle. Every private and admin route enforced server-side, not just hidden in the UI. Webhooks verify signatures before acting.

Finish with operational safety

Safe file uploads, an audit trail for sensitive actions, separated demo and production data, and error monitoring so failures are visible before customers report them.

The full checklist

Work top to bottom. The earliest items are the most likely to leak data or money.

A checklist tells you what to verify. A vibe-coded app security review confirms each item against your actual code and data model.

Related guides

Supabase RLS review

Why Row Level Security is the top failure in AI-built apps and how to verify it.