AI code security audit

AI-generated code can be functional before it is threat-modeled.

GhostCode helps AI-assisted builders review auth, endpoints, database rules, exposed secrets, and business logic before scale.

Preliminary scan, not fake pentest
Manual review available
Founder-readable reports
Developer-ready fixes
NDA available

Fast app generation changes the security workflow.

AI tools can create working SaaS flows quickly. They do not always know your intended permission model, customer data boundaries, admin responsibilities, or abuse cases.

Auth and roles

Verify identity, sessions, role boundaries, and reset behavior.

Endpoints and APIs

Review direct access, broad responses, and hidden routes.

Database rules

Check client trust, tenant isolation, and server-side access.

Business logic

Test what happens outside the happy path.

What an AI code security audit looks for.

  • Auth flows that work but miss edge cases
  • Public endpoints that expose more data than the UI shows
  • Database rules that trust the client too much
  • Secrets or environment assumptions in client-visible code
  • Admin routes and role checks that rely on obscurity
  • Payment and webhook flows that need stronger verification

Before you scale traffic,make sure you are not scaling exposure.

Run Exposure Scan