Can AI-Generated Code Introduce Security Vulnerabilities?

AI-assisted coding tools can accelerate development but also propagate insecure coding patterns from their training data; this blog explains how generated code often lacks contextual security awareness and may introduce vulnerabilities (XSS, broken auth, deserialization issues, command injection, hardcoded secrets, improper access control), cites studies showing increased insecure code when developers rely on AI, and recommends treating AI output like third-party code with integrated SAST/DAST/VAPT, policies, code reviews, and dependency verification.