AI Generated Code Vulnerabilities: Root Causes — CloudTweaks
You run a security scan on code that looks perfectly fine. It compiles. The logic reads cleanly. A colleague reviewed it and moved on. Then your SAST tool — a static application security testing scanner that analyzes source code for security flaws without executing it which flags a SQL injection pattern that went through three rounds of review without anyone blinking. That scenario is becoming routine, and the reason is structural, not accidental.
AI coding assistants have changed how fast software gets written. They have not changed what makes software secure.
Why AI Models Often Produce Vulnerable Code
The training data problem is a root issue, and it doesn’t have an easy fix. AI code models are trained on public repositories, and those repositories contain many insecure and outdated patterns. The model learns from everything: the careful security-reviewed commit and the three year old Stack Overflow snippet with hardcoded credentials....
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