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What are the security risks of AI-generated code?

Quick Answer

AI code can have security vulnerabilities like any code. Common issues include improper input validation, weak authentication, and exposed API keys. Professional review is recommended for sensitive applications.

Full Explanation

AI-generated code has the same types of security vulnerabilities as human-written code, sometimes more. Here are the main risks to be aware of:

Input validation: AI often generates code that trusts user input too much. Forms might not properly sanitise data, making SQL injection or XSS attacks possible. Always test what happens when users enter unexpected data.

Authentication weaknesses: AI implements basic authentication but might miss edge cases like session management, password reset security, or rate limiting on login attempts.

API key exposure: AI sometimes puts sensitive keys directly in frontend code where they're visible to anyone. This is a common and serious mistake. Always use environment variables and server-side handling for secrets.

Over-permissive access: Database rules generated by AI might be too permissive, allowing users to access or modify data they shouldn't.

Mitigation strategies:

  • Use established authentication services (Supabase Auth, Clerk, Auth0) instead of custom implementations
  • Get a security review before handling payment data or sensitive personal information
  • Follow the principle of least privilege for database access
  • Test your app by trying to break it-enter weird data, try to access other users' data
  • Use AI to review your AI-generated code specifically for security issues

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