Google Cloud is committed to ensuring that your data remains safe, secure, and firmly under your control. This begins with fortifying the very foundation of your compute infrastructure — your Compute Engine virtual machines (VMs) — with the power of Confidential Computing. Confidential Computing protects data while it’s being used …
As artificial intelligence and machine learning workloads become more popular, it's important to secure them with specialized data security measures. Confidential Computing can help protect sensitive data used in ML training to maintain the privacy of user prompts and AI/ML models during inference and enable secure collaboration during …
For organizations who want to bring and process their most sensitive compute workloads in the cloud without any code changes, we offer Confidential virtual machines (VMs) that leverage the latest hardware-based security technology. Through our partnership with Intel, we are extending our Confidential VMs on the new C3 machines …
For organizations who want to bring and process their most sensitive compute workloads in the cloud without any code changes, we offer Confidential virtual machines (VMs) that leverage the latest hardware-based security technology. Through our partnership with Intel, we are extending our Confidential VMs on the new C3 machines …
As one of the most trusted cloud platform providers, Google is committed to providing our clients secure and reliable environments for their workloads. Google believes the future of computing will increasingly shift to private, encrypted services where users can be confident that their data is not being exposed to …
One of the core benefits of using cloud technology to help modernize your security program is the ever-growing set of provider capabilities that you can use to protect your users, applications, and data. As part of our commitment to be our customers’ most Trusted Cloud, we’re constantly adding …