GCP Confidential Computing encrypts data while it’s being processed, not just at rest or in transit, providing advanced protection for sensitive workloads
Google Cloud offers Confidential VMs, Confidential GKE Nodes, Confidential Dataflow, Confidential Dataproc, and Confidential Space for secure data processing
Confidential VMs use hardware-based security features from AMD, Intel, and NVIDIA (including H100 GPUs) to protect data-in-use
Confidential GKE Nodes allow Kubernetes clusters to process encrypted data in memory, using node-specific hardware keys inaccessible to Google or host nodes
Confidential Space enables secure, privacy-preserving multi-party data analytics and collaborative AI/ML model training, even across organizational boundaries
Confidential Dataflow and Dataproc support secure, large-scale machine learning and analytics pipelines using inline memory encryption
The platform supports privacy-preserving AI, confidential matching for Google Ads, and secure financial analytics (e.g., Swift’s anti-money laundering models)