Is Your AI-Built App Actually Secure? 5 Things to Check Right Now

The security gap in AI-generated code

AI coding tools like Claude, Cursor, and Copilot are incredible at building features fast. But they optimize for "does it work?" not "is it secure?" That means your app probably has vulnerabilities hiding in plain sight.

We've audited dozens of AI-built applications, and the same five issues show up in nearly every one. Here's what to check.

1. SQL injection and query safety

AI-generated code frequently concatenates user input directly into database queries. This is the #1 most exploited vulnerability on the web.

What to look for: Any database query that includes a variable from user input (form fields, URL parameters, API bodies) without parameterization.

The fix: Use parameterized queries or an ORM (Prisma, Drizzle, Sequelize). Never build SQL strings by concatenating user input.

2. Exposed API keys and secrets

AI tools sometimes hardcode API keys directly in source files. Even if you later move them to environment variables, the keys may still be in your git history.

What to look for: Search your codebase for strings that look like API keys (long alphanumeric strings, anything starting with "sk_", "pk_", "AKIA"). Check your git history too.

The fix: Use environment variables for all secrets. Add .env to your .gitignore. If keys were ever committed, rotate them immediately.

3. Missing or broken authentication

AI often generates API endpoints without proper auth checks. Your frontend might hide the "admin" button, but the API endpoint behind it is wide open.

What to look for: API routes that access or modify data without verifying the user's identity. Check every endpoint, not just the ones your UI calls.

The fix: Add authentication middleware that runs before every protected route. Use a battle-tested auth provider (Clerk, Auth0, Supabase Auth) instead of rolling your own.

4. Outdated dependencies with known vulnerabilities

AI training data has a cutoff. The packages it recommends may have known security vulnerabilities that were discovered after training.

What to look for: Run npm audit or yarn audit. Check for critical and high-severity issues.

The fix: Update vulnerable packages. Set up Dependabot or Renovate to automatically flag outdated dependencies.

5. No HTTPS or misconfigured SSL

Without HTTPS, all data between your users and your server travels in plain text. Anyone on the same network can read passwords, tokens, and personal information.

What to look for: Try accessing your app via http:// (not https). If it loads without redirecting, you have a problem.

The fix: If you're on Vercel or Netlify, HTTPS is automatic. If you're on a custom server, use Let's Encrypt (free) via Certbot. Always redirect HTTP to HTTPS.

What to do next

If you found issues in any of these five areas, you're not alone. These are the most common vulnerabilities in AI-built applications, and they're all fixable.

The key is addressing them before they become incidents. A security audit now costs a fraction of what a data breach costs later.