Announcing: Microsoft moves $25 Billion in credit card transactions to Azure confidential computing
Microsoft is proud to showcase that customers in the financial sector can rely on public Azure to add confidentiality to provide secure and compliant payment solutions that meet or exceed industry standards. Microsoft is committed to hosting 100% of our payment services on Azure, just as we would expect our customers to do. Microsoft’s Commerce Financial Services (CFS) has completed a critical milestone by deploying a level 1 Payment Card Industry Data Security Standard (PCI-DSS) compliant credit card processing and vaulting solution, moving $25 Billion in annual credit card transactions to the public Azure cloud.Introducing EdgelessDB: A Database Designed for Confidential Computing
Edgeless Systems is on a mission to build easy-to-use open-source tools that make confidential computing accessible to everyone. This article introduces EdgelessDB and shows how it can easily be run on Intel SGX-enabled confidential computing VMs in Azure.Frictionless Collaborative Analytics and AI/ML on Confidential Data
Secure enclaves protect data from attack and unauthorized access, but confidential computing presents significant challenges and obstacles to performing analytics and machine learning at scale across teams and organizational boundaries. In this article, we'll explore the Opaque platform and describe how it can enable multiple parties to easily collaborate and analyze shared data while keeping it fully confidential.Learn about the latest silicon level protections available today in Azure
Watch our Microsoft Mechanics host, Jeremy Chapman and Mike Ferron-Jones from Intel discuss the silicon-level protections available today in Azure, the types of sophisticated attacks they defend against and the industry journey to confidential computing.
Confidential Data Clean Rooms – The evolution of sensitive data collaboration
Secure data collaboration between multiple parties has the potential to revolutionize societies, businesses and industries for the better. Collaborating on sensitive data assets facilitates innovation to unlock new value for organizations.
BigDL Privacy Preserving Machine Learning with Occlum OSS on Azure Confidential Computing
This blog introduces you to a confidential computing solution for Privacy-Preserving Machine Learning (PPML) made available by Open-Source Software Occlum Library OS for Intel SGX and BigDL on the Azure cloud. This blog demonstrates the solution using a sample analytics application built for the NYTaxi dataset. This sample application leverages Azure Confidential Computing (ACC) components such as SGX Nodes for Azure Kubernetes Service (AKS), Microsoft Azure Attestation, Azure Key Vault (AKV), etc, as well as Occlum LibOS and BigDL PPML.
