Enterprises are rapidly moving AI workloads from experimentation to production on Google Kubernetes Engine (GKE), using its scalability to serve powerful inference endpoints. However, as these models handle increasingly sensitive data, they introduce unique AI-driven attack vectors — from prompt injection to sensitive data leakage — that traditional firewalls aren't designed …

Privacy-protecting Confidential Computing has come a long way since we introduced Confidential Virtual Machines (VMs) five years ago. The technology, which can protect data while in use, strengthens a security gap beyond data encryption at rest and in transit. Since then, customers have used Confidential Computing to protect patient …

What goes into your Kubernetes software? Understanding the origin of the software components you deploy is crucial for mitigating risks and ensuring the trustworthiness of your applications. To do this, you need to know your software supply chain. Google Cloud is committed to providing tools and features that enhance …