Software supply chain security was already complex enough before artificial intelligence entered the picture. Security professionals were just beginning to get a handle on managing open-source dependencies, tracking third-party components, and verifying the integrity of their software artifacts. Now, with AI-powered code generators becoming mainstream, organizations must confront an entirely new dimension of supply chain risk that few are prepared to address. The fundamental question is no longer simply "what's in your code?" but rather "who—or what—wrote your code?"
The transformation is happening rapidly. Development teams increasingly rely on AI assistants to generate everything from simple functions to entire application modules. These tools can significantly accelerate development cycles, but they also introduce code that wasn't written by human developers who understand the organizational security context. Unlike traditional open-source packages, which can be scanned and verified, AI-generated code presents a moving target of potential vulnerabilities that may not appear in standard vulnerability databases.
Organizations of all sizes are