Authentication and Authorization Defects in AI-Generated Code

The Systemic Nature of Auth Vulnerabilities

A 2025 study by Databricks revealed:

"AI-generated authentication systems frequently incorporate outdated patterns and fail to implement modern security practices, creating what we call 'authentication debt' in codebases."

The Statistics

The research found that:

• 73% of AI-generated authentication code lacked proper session management
• 81% stored passwords insecurely (MD5, SHA1, or plaintext)

These aren't edge cases—they're the norm in AI-generated authentication code.

1.2.1 Insecure Password Storage

The Problem