Securing AI at Enterprise Scale: The Google Kubernetes Engine Blueprint

Artificial intelligence is moving from prototype to production faster than traditional security paradigms can adapt. For CISOs and platform engineering teams, the challenge is clear: you need to protect proprietary model weights, defend against novel application-layer threats like prompt injection, and enforce strict regulatory compliance—all without slowing down your AI developers. To meet all of these security goals, you need more than just a place to run containers; you need a platform that compounds layers of security out-of-the-box.