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Dappasol / Guides

By , Founder · Updated June 2026

AI-Generated Code Security Checklist (2026)

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.

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 against known-vulnerable patterns, the CWE catalog is the standard reference.
  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.

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.

Rather hire it out: see the best AI code security audit services, firms and tools compared honestly.

FAQ

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.

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