Authentication
We check whether logged-out users can reach protected routes, whether sessions are enforced consistently, and whether role checks happen server-side.
Vibe-coded app security review
Find the security risks hiding behind your working demo.
AI-generated apps often look complete before the security model is complete. We review the places where founder-built prototypes usually fail: keys, data rules, route protection, admin workflows, payments, and permissions.
What do we check?
The review focuses on failures that can expose customer data, run up third-party bills, or give the wrong user access to privileged workflows.
Data access
We inspect database policies, table exposure, storage bucket permissions, API endpoints, and whether one tenant can read another tenant's records.
Secrets
We look for Stripe, OpenAI, Anthropic, email, storage, webhook, and database secrets that accidentally shipped to the browser or public repo history.
Common failures in AI-built apps
These are the issues that matter most before you invite real users or connect production data.
- Public read access to customer tables, internal tasks, or upload records.
- Admin dashboards reachable by guessing `/admin`, `/dashboard`, or `/settings`.
- API routes that trust client-provided user IDs or organization IDs.
- Webhook handlers without signature verification.
- No separation between demo credentials, staging data, and production data.
- No remediation order, so founders spend time on cosmetic issues while launch blockers remain.
The goal is not to shame AI-built code. The goal is to identify the few security issues that can actually hurt the business.