Azure Research – Security and Privacy
Projects
The goal of Project Venice is to provide strong end-to-end protection against software side-channel attacks, with confidential cloud computing as its main use case.
More and more of the world’s cloud computation is containerized, but these containers are not safe. From web servers to machine learning models, containerization empowers users to build functionality that can be effortlessly moved into the cloud. However, once an…
Confidential Consortium Framework – a framework to build secure, highly available, and performant applications that focus on multi-party compute and data https://github.com/microsoft/ccf
Project Portmeirion aims to explore hardware-software co-design for security in the Azure general-purpose compute stack. We are working with major CPU vendors and academic collaborators to design new security features at both the architectural and microarchitectural level. This includes hardware-enforced…
Adoption of the cloud requires trust, but software vulnerabilities can quickly erode that trust. There is a real drive in the industry to make memory safety vulnerabilities a thing of the past. Project Verona is a highly ambitious research project…
Our goal is to make Azure the most trustworthy cloud platform for AI. The platform we envisage offers confidentiality and integrity against privileged attackers including attacks on the code, data and hardware supply chains, performance close to that offered by…