A developer merges a pull request on Friday afternoon. Monday morning, a security review flags a SQL injection flaw in a new endpoint. When you ask what happened, the answer is: “Copilot generated that part. I didn’t really read it.”
That answer is worse than the bug.
The security problem with AI-generated code is not only that models can produce insecure patterns. It’s that teams start treating shipped code as if ownership can be outsourced along with the typing. Scanners, SAST, and dependency audits still matter, but they sit downstream of a more basic failure: somebody merged code they didn’t understand. If you want to secure AI-generated code, you have to fix that first.
The Illusion of "Done" (And the Vulnerabilities You Inherit)
AI code generation is fast. That speed creates a dangerous shortcut in a developer’s head: the code appeared in seconds, so the task must be nearly finished.
