Why Relying Entirely on AI for Source Code Threatens Corporate Security
My research shows that AI cannot immediately catch complex threats like advanced malware or insider attacks. Many developers use AI without fully understanding the generated code, which creates hidden bugs and security flaws. When critical code is fed into external AI platforms, it often ends up in public training data, exposing private company assets to competitors. Because developers might switch companies, the knowledge retained by these AI models creates a direct risk of insider data leaks.
🎯 Vulnerability: Remote Code Execution (RCE)
💡 Defense Fix: Avoid executing shell commands via system(). Use parameterized APIs and strict input sanitization.