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.
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.
enclaive's THE BASE: Developing Confidential Cloud Applications with Ease on Azure DCsv2/DCsv3-serie
Confidential Compute (CC) is a powerful new paradigm, embarking on the cloud computing space. It won’t take much time and a cloud will naturally transform into a confidential one. There are several strong arguments. All of them are centered around creating business value and growth in data-driven sovereign societies.Developers guide to Gramine Open-Source Lib OS for running unmodified Linux Apps with Intel SGX
There is a growing trend of moving private computations from on-premises to the public cloud and to the edge. However, many individuals, companies, and organizations consider the public cloud and the edge as untrusted environments and are wary to transfer their confidential data and computations to them. Thus, securing data has become a number one business imperative. To secure data at all stages of its processing, Confidential Computing relies on Trusted Execution Environment (TEE) technologies. One of the prominent TEEs – available as part of the Azure Confidential Computing offering – is the Intel® Software Guard Extensions (Intel SGX) hardware-based technology. Intel SGX provides powerful building blocks for application development. Software developers can port their applications to Intel SGX by putting only the security-critical part of the application into the Intel SGX enclave and leaving the non-critical parts outside of the enclave. However, in many real-world scenarios, it is infeasible to write a new application from scratch or to port an existing application manually. Gramine can help ease this porting burden for developers: Gramine supports the “lift and shift” paradigm for Linux applications, where the whole application is secured in a “push-button” approach, without source-code modification or recompilation. Gramine currently supports many programming languages and frameworks, as well as many kinds of workloads. Gramine supports C/C++, Rust, Google Go, Java, Python, R and other languages, as well as database, AI/ML, webserver and other workloads. In addition, the Gramine project provides the GSC tool to run already-existing Docker images in Gramine SGX enclaves.
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.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.OC3 Recap: Insights from the Growing Confidential Computing Community
Earlier this year, the community came together for the second https://www.oc3.dev/, organized by https://www.edgeless.systems/ and sponsored by Microsoft Azure. Almost 1,000 people signed up for OC3, making it the world’s leading event for confidential computing.
