Google Cloud's Confidential Computing is a breakthrough technology that encrypts data while it is being processed in the cloud. This service utilizes modern CPUs from AMD, Intel, and others to create secure environments known as Trusted Execution Environments (TEEs). It allows businesses to collaborate securely without compromising data privacy, enabling new possibilities for data-intensive applications like AI and machine learning.

Key Features

• Confidential VMs: Encrypt data in use while being processed, leveraging hardware security features from modern CPUs.
• Confidential GKE Nodes: Achieve encryption in-use for data processed inside GKE clusters without performance degradation.
• Confidential Dataflow and Dataproc: Support for secure data processing pipelines using Compute Engine Confidential VMs.
• Confidential Space: Enables secure joint data analysis and machine learning model training while maintaining data confidentiality.
• Seamless Integration: No code changes required for existing applications to use Confidential VMs.
• High Performance: Offers similar performance to standard VMs without compromising security.

Benefits

• Enhanced Data Security: Protects data from unauthorized access, even by privileged users.
• Secure Collaboration: Enables secure data sharing and collaboration without exposing sensitive information.
• Regulatory Compliance: Helps meet data privacy regulations by protecting data in use.
• Innovation: Unlocks new computing scenarios that were previously not possible due to data privacy concerns.