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Enhance the security of your workloads, simplify compliance with regulations, and uphold data sovereignty through IBM Cloud Secure Virtualization. A dependable cloud infrastructure must tackle essential issues surrounding corporate governance, security, and compliance. Businesses are eager to create an environment where management, workload efficiency, and data accessibility are confined to designated geographic areas, all while ensuring thorough auditing capabilities are in place. During the initial configuration, it is crucial to identify the firmware settings that are permissible alongside the approved hypervisor settings. It is also important to meticulously document each physical host along with its corresponding location, producing a snapshot or fingerprint of the launch configuration for every trusted host. This collection of information is organized into an allowlist. When the BIOS and hypervisor measurements of a host correspond with those documented in the allowlist, the boot environment is validated. As a result, the host is launched in a secure and trusted state, preserving the integrity of the cloud environment throughout its lifecycle. By adhering to these established procedures, organizations can confidently oversee their cloud resources while satisfying rigorous security requirements, ultimately fostering a more resilient and compliant operational framework.
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.
Integrations Supported
AMD Radeon ProRender
Anjuna Confidential Computing Software
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Platform
Google Kubernetes Engine (GKE)
HashiCorp Vault
HyTrust
IBM Cloud
Intel Open Edge Platform
Integrations Supported
AMD Radeon ProRender
Anjuna Confidential Computing Software
Google Cloud Dataflow
Google Cloud Dataproc
Google Cloud Platform
Google Kubernetes Engine (GKE)
HashiCorp Vault
HyTrust
IBM Cloud
Intel Open Edge Platform
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
$0.005479 per hour
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
IBM
Date Founded
1911
Company Location
United States
Company Website
www.ibm.com/cloud/architecture/architectures/virtualization_security_hytrust/
Company Facts
Organization Name
Date Founded
1998
Company Location
United States
Company Website
cloud.google.com/security/products/confidential-computing
Categories and Features
Virtualization
Archiving & Retention
Capacity Monitoring
Data Mobility
Desktop Virtualization
Disaster Recovery
Namespace Management
Performance Management
Version Control
Virtual Machine Monitoring
Categories and Features
Virtual Machine
Backup Management
Graphical User Interface
Remote Control
VDI
Virtual Machine Encryption
Virtual Machine Migration
Virtual Machine Monitoring
Virtual Server