Why Automated Security Scans Can't Catch What AI Models Learned

Automated security scans on AI-generated code create a false sense of safety by missing vulnerabilities that AI models absorbed from insecure patterns in public training data. Forward-thinking teams, particularly in Japan, are adopting a layered approach—using scanners as a baseline followed by mandatory human review for critical operations—a practice born from real production incidents that tools alone failed to prevent.