Enterprises are concerned about data privacy and intellectual property in cloud-based machine learning, which limits the use of valuable private data. Confidential AI provides a hardware-rooted execution environment for CPU and GPU, protecting AI data and code against privileged software. On Microsoft Azure, this uses Ubuntu confidential VMs with AMD 4th Gen EPYC processors and NVIDIA H100 GPUs. Join us to explore memory confidentiality, integrity, and remote attestation in securing AI workloads
Jehudi Castro-Sierra
Public Cloud Alliance Director
Jehudi Castro-Sierra is a seasoned technology leader with over 20 years of experience in software development, cloud computing, and cybersecurity. He has held key roles at Canonical, Oracle, and Red Hat, focusing on open-source innovation and product leadership. Jehudi's academic background includes a Systems Engineering degree from Universidad EAFIT and an MBA from Politecnico di Milano, along with the Product Management Program from Stanford University. Currently, as Public Cloud Alliances Director at Canonical, Jehudi ensures Ubuntu remains the top operating system on Azure. He drives strategic cloud partnerships and promotes Canonical products across the cloud ecosystem. In the public sector, Jehudi served as Vice-Minister of Digital Economy and Presidential Advisor for Digital Transformation in Colombia. He played a crucial role in developing AI policies and cybersecurity measures, contributing to Colombia's top 3 ranking in the OECD Digital Government Index. Jehudi is also an active competitive swimmer with the national masters team.
Antoine Delignat-Lavaud
Senior Principal Researcher
Antoine Delignat-Lavaud is a researcher specializing in cryptographic protocols and cloud security. He contributes to the design and security architecture of new hardware, platforms, and services in support of the Confidential Computing initiative; in particular his current focus is verifiable privacy-preserving AI based on confidential confidential computing. He earned his PhD in Computer Science from ENS and Inria in Paris.