
The integration of autonomous artificial intelligence into the modern software development lifecycle has created a double-edged sword where unprecedented productivity gains are balanced against a radical expansion of the enterprise attack surface. As developers increasingly rely on high-performance Large Language Models to automate boilerplate code, review complex pull requests, and manage local environments, the boundary between helpful automation and dangerous










