Pratheek Karnati

February 11, 2019

Announcing IBM Cloud Data Shield Beta at Think 2019

Since we announced IBM Cloud Data Shield experimental, we have been hard at work helping our early adopters (Irene Energy and iExec) develop their Zero Trust platforms and building the next version of Data Shield. Today, we are excited to announce Data Shield beta!

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November 5, 2018

Announcing IBM Cloud Data Shield Experimental – Scalable Data-in-Use Protection for Your Container Workloads

Data Shield, powered by Fortanix, provides data-in-use protection for your container workloads running on the IBM Cloud Kubernetes Service. It leverages Intel® SGX technology to run code and data in CPU-hardened “enclaves” or a Trusted Execution Environment (TEE).

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November 5, 2018

Data-in-Use Protection on IBM Cloud Kubernetes Service Using Intel® SGX

We are excited to announce Intel® Software Guard Extensions (Intel® SGX) bare metal worker nodes for IBM Cloud Kubernetes Service to help address data protection concerns with containers and microservices.

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May 10, 2018

Data-in-use protection on IBM Cloud using Intel SGX

While external attacks outnumber internal incidents as causes of breaches, malicious internal incidents are on the rise – in 2017, 46% of internal attacks were malicious insider incidents. As businesses become data-driven, they understand data security and privacy are competitive differentiators

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December 19, 2017

Data-in-use Protection on IBM Cloud – IBM, Intel, and Fortanix partner to keep enterprises secure to the core

Cloud computing has made collecting, storing, and processing data easier and affordable than ever, but many risk-conscious organizations struggle on how to control, secure and protect data that is processed in a public cloud platform. The data protection needs of organizations are driven by concerns about protecting intellectual property, meeting compliance requirements, or navigating the ambiguity of legal protections for data in the cloud. These organizations see the need to independently retain ownership and control of their data.

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