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What is R&S Trusted Gate?

R&S®Trusted Gate – Secure Data Exchange provides a reliable method for the secure transmission of sensitive data among authorized users. It guarantees that information is automatically encrypted and can be easily synchronized from a private network to various leading online file sharing services. Clients have the option to configure their deployment protocols, choose their encryption standards, and set their authentication processes independently of third-party providers. This level of customization ensures that no sensitive data is exposed to any external cloud storage or sharing platforms. Sharing information using R&S®Trusted Gate is designed to be both efficient and user-friendly. Users can determine which internal folders should be accessible to external collaborators, and as soon as files are placed in these chosen folders, R&S®Trusted Gate swiftly initiates the synchronization of the confidential data to the defined external locations. The encryption process is automatic, maximizing security for all transmitted information. This solution is suitable for a diverse array of applications, going beyond just office documents to encompass server migrations and backups, thus offering a comprehensive approach to safeguarding data. Moreover, its user-friendly nature and flexibility make it an excellent option for organizations aiming to protect their sensitive data effortlessly while ensuring compliance with security regulations.

What is Google Cloud Confidential VMs?

Google Cloud's Confidential Computing provides hardware-based Trusted Execution Environments (TEEs) that ensure data is encrypted during active use, thus finalizing the encryption for data both at rest and while in transit. This comprehensive suite features Confidential VMs, which incorporate technologies such as AMD SEV, SEV-SNP, Intel TDX, and NVIDIA confidential GPUs, as well as Confidential Space to enable secure multi-party data sharing, Google Cloud Attestation, and split-trust encryption mechanisms. Confidential VMs are specifically engineered to support various workloads within Compute Engine and are compatible with numerous services, including Dataproc, Dataflow, GKE, and Vertex AI Workbench. The foundational architecture guarantees encryption of memory during runtime, effectively isolating workloads from the host operating system and hypervisor, and also includes attestation capabilities that offer clients verifiable proof of secure enclave operations. Use cases for this technology are wide-ranging, encompassing confidential analytics, federated learning in industries such as healthcare and finance, deployment of generative AI models, and collaborative data sharing within supply chains. By adopting this cutting-edge method, the trust boundary is significantly reduced to only the guest application, rather than the broader computing environment, which greatly enhances the security and privacy of sensitive workloads. Furthermore, this innovative solution empowers organizations to maintain control over their data while leveraging cloud resources efficiently.