Security Checklist

Checklist

The AI-generated code security checklist (2026)

Run this before launching anything built on Lovable, Bolt, Replit, Cursor or Claude. Independent testing found 45% of AI-generated code ships with a security flaw (Veracode, 2025). Pass all 10 checks and you’re production-safe; fail any and fix it first. It maps to the OWASP Top 10 — the vulnerabilities attackers actually exploit.

The 10 checks

10 checks before you launch

  1. Real authentication — Proper sign-in, sessions and password handling — not a mock login.
  2. Server-side secrets — Every API key and token in environment variables, never in client code or the repo.
  3. Input validation — Every form and endpoint guarded against injection and malformed data (OWASP A03).
  4. Access control — Row-level rules so users can only read their own data (OWASP A01 — the Lovable incident class).
  5. Rate limiting — So one user or bot can’t hammer your app or your AI bill.
  6. Secure data layer — Real schema, least-privilege DB access, and automated backups.
  7. HTTPS & security headers — TLS, correct CORS, and headers (CSP, HSTS) set properly.
  8. Error handling & logging — Graceful failures, no secrets in error messages, alerts when something breaks.
  9. Dependency & AI-output review — Check generated code and packages for known-vulnerable patterns.
  10. Tested under load & attack — Confirm the critical paths hold before real users arrive.

Fail 3 or more? Don’t launch yet. Get the $500 audit for a scored report, or read why AI code is so often vulnerable.

How to fix

Fixing what you find

Most AI-built apps can be hardened in place — you rarely need to rebuild. Work top-down: auth and access control first (the highest-impact, most-exploited gaps), then secrets, then data, then the rest. Re-run the checklist after each fix. If the foundation genuinely can’t be secured, a focused rebuild is the honest call.

Tool-specific: Lovable security · are AI app builders secure? · full production-readiness checklist.

By the DappaSol team — 100+ products shipped since 2020. 45% figure: Veracode 2025 GenAI Code Security Report. Last updated June 2026.

FAQ

Common questions

How do I know if my AI-generated app is secure?

Run this 10-point checklist (or a $500 audit). The big ones are real auth, server-side secrets, input validation and row-level data access — that’s where most AI-built apps fail.

Is AI-generated code insecure by default?

Often, yes — 45% of it ships a vulnerability (Veracode 2025). AI optimises for code that runs, not code that’s safe. You have to add the security layer.

Can I fix it without rebuilding?

Usually — most apps can be hardened in place. A rebuild is only needed when the foundation can’t be secured.

By the DappaSol team — 100+ products shipped since 2020. Last updated June 2026.