Protect your data with IBM Z, LinuxONE SEL and advanced confidential computing technology
The IBM Confidential Computing Platform uses IBM Secure Execution for Linux technology that includes hardware and firmware features such as memory encryption, encrypted contracts and an ultravisor to create isolated, secure environments for workloads.
IBM Confidential Computing safeguard your applications and data across their entire lifecycle. With confidential computing and encrypted key control, you maintain complete authority—ensuring data stays secured at rest, in transit and in use.
Explore FAQs about confidential computing on IBM.
IBM Confidential Computing Platform is a suite of services designed to provide a secure-rich environment for mission-critical data and applications in hybrid cloud deployments, using confidential computing capabilities on IBM Z or LinuxONE.
Confidential Computing refers to the protection of data in use by performing computation in an attested, hardware-based Trusted Execution Environment (TEE), helping ensure that data is encrypted and isolated during processing. IBM Confidential Computing Platform use this concept to protect mission-critical workloads and sensitive data.
Operational assurance helps ensure that the operations conducted by service providers and others are compliant and do not intentionally or unintentionally compromise security. This is based on operational measures, which are breakable resulting in the need to trust.
Technical assurance helps ensure that the security features are ingrained in the technology, and it is technically impossible for unauthorized access or changes to occur. This helps ensure that data is secured always, without the need to trust any person or organization to not use privileged access in the case of internal or external attacks.
The Hyper Protect Platform uses IBM Secure Execution for Linux technology that includes hardware and firmware features such as memory encryption, encrypted contracts and an ultravisor to create isolated, secure environments for workloads.