AI-generated code has made security debt a governance problem

The article argues that AI-assisted code generation increases 'risk velocity' by producing more code faster than traditional security controls can review and remediate, expanding familiar insecure patterns and supply-chain exposures. It recommends treating AI-generated code as untrusted until proven safe, embedding automated testing, dependency controls, secure-by-design infrastructure, inline remediation, and strong governance and evidence trails into CI/CD pipelines so organizations can demonstrate that AI-produced code was reviewed and governed before deployment.