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What is IBM Hyper Protect Virtual Servers?

IBM Hyper Protect Virtual Servers employ IBM Secure Execution for Linux, establishing a confidential computing environment that protects sensitive data within both virtual servers and container settings. This solution harnesses a hardware-based, trusted execution environment (TEE) to ensure secure computations, accessible both on-premises and as a managed service via IBM Cloud. Organizations are able to confidently develop, deploy, and manage essential applications across hybrid multi-cloud setups while taking advantage of the confidential computing features available on IBM Z and LinuxONE. Developers are equipped to create their applications within a secure framework that guarantees data integrity, and administrators can verify that applications originate from trustworthy sources through their auditing processes. Additionally, operations teams are empowered to oversee systems without requiring direct access to either applications or their sensitive data. This methodology provides substantial protection for digital assets on a secure, tamper-resistant Linux platform, instilling confidence in businesses as they navigate intricate security challenges. Consequently, IBM Hyper Protect Virtual Servers are integral to bolstering the overall security strategies of organizations, helping them adapt to evolving threats in the digital landscape. This comprehensive approach ensures that enterprises can maintain operational efficiency while safeguarding their most critical information assets.

What is Azure Confidential Computing?

Azure Confidential Computing significantly improves data privacy and security by protecting information during processing, rather than just focusing on its storage or transmission. This is accomplished through the use of hardware-based trusted execution environments that encrypt data in memory, allowing computations to proceed only once the cloud platform verifies the environment's authenticity. As a result, access from cloud service providers, administrators, and other privileged users is effectively restricted. Furthermore, it supports scenarios like multi-party analytics, enabling different organizations to collaborate on encrypted datasets for collective machine learning endeavors without revealing their individual data. Users retain full authority over their data and code, determining which hardware and software have access, and can seamlessly migrate existing workloads using familiar tools, SDKs, and cloud infrastructures. In essence, this innovative approach not only enhances collaborative efforts but also greatly increases trust and confidence in cloud computing environments, paving the way for secure and private data interactions across various sectors.

Media

Media

Integrations Supported

Docker
IBM Cloud
IBM LinuxONE
IBM Z

Integrations Supported

Azure Data Explorer
Azure Databricks
Azure Key Vault
Azure Virtual Desktop
Kubernetes
Microsoft Azure
NVIDIA Confidential Computing

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
On-Prem
Linux

Supported Platforms

SaaS

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

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/hyper-protect-virtual-servers

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/solutions/confidential-compute

Categories and Features

Mainframe Security

Not specified

Categories and Features

Confidential AI

Not specified

Virtual Machine

Not specified

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