AI language models installed unowned code in corporate networks

A security investigation discovered 227 install commands embedded in corporate documentation that reference unowned code repositories. These commands, associated with AI systems like Claude, Codex, and Hermes, pose a significant risk as they could execute malicious or abandoned code within corporate networks. The finding highlights a critical vulnerability in how organizations manage dependencies and code sourcing practices.