How to Secure AI-Generated Code Across an Enterprise SDLC
DevOps.com, Tuesday, October 27th, 2026
DevOps.com guide covers four main risks of AI-generated code and the checks, gates and ownership enterprises need to catch them.
Writing for DevOps.com and drawing on several Aikido reports, Anastasios Arampatzis argues AI-generated code carries familiar flaws, led by broken access control, but arrives faster than teams can review and is often trusted because it looks clean.
He covers four risks: hallucinated package names that attackers register as malware, secrets committed by agents, agent code that bypasses IDE and pull request checks, and broken access control.
Suggested controls include install-time malware checks, pre-commit secret scanning, scanners wired into agent environments, mandatory PR scans with AI review, and cross-tenant access tests.
Each check needs an accountable owner.