On-Demand Keynotes and Track Sessions
Confidential Computing and the Solution to Privacy-Preserving Generative AI
Raluca Ada Popa, Assoc. Prof CS, UC Berkeley and co-founder Opaque Systems
Prof. Raluca Ada Popa opens the Summit and discusses the factors driving the growth of the Confidential Computing market between 2023-2029 including the rise of data privacy laws and the rise of new use cases across every industry. Popa also highlights the recent ground-breaking innovation across every layer of the confidential computing technology stack as well as Confidential Computing’s position on the larger Privacy Enhancing Technology (PET) landscape & why confidential computing is the next frontier in data security.
The Mission of the Confidential Computing Consortium and Driving Adoption of Confidential Computing
Mike Bursell, Executive Director, Confidential Computing Consortium
Mike Bursell speaks to the shared mission of the 45+ member organizations in the Confidential Computing Consortium, the CCC’s support of new open source standards and projects relating to confidential computing such as Keystone, Veracruz, Grammine and Occlum and how the CCC helps accelerate the acceptance and adoption of confidential computing.
Confidential Computing and Zero Trust
Vikas Bhatia, Head of Product, Microsoft Azure Confidential Computing
Zero Trust is top of mind for many organizations. Confidential computing supports Zero Trust in ways that can only be accomplished by industry collaboration between chip manufacturers, software platforms, and cloud providers. Learn how this collaboration is extending zero trust to data-in-use and letting organizations assume breaches occur in all components outside a tightly controlled and attested trusted computing base.
The Urgency for Confidential Computing from Zero-Trust Data Clean Rooms to Privacy-preserving Generative AI
Rishabh Poddar, CEO & Co-founder Opaque Systems & Teresa Tung, Cloud First CTO Accenture
Protecting the confidentiality of organizational data will be discussed and demonstrated by Poddar along with a focus on privacy-preserving generative AI and details on how multiple organizations can easily and securely analyze their combined confidential data with zero trust Data Clean Rooms without sharing or revealing the underlying raw data. Accenture’s Cloud First Chief Technologist, Teresa Tung, will also share case studies on Opaque’s usage for advanced, collaborative analytics using multi-party data clean rooms.
Panel: Generative AI Security and Privacy
Location: Main Keynote Room (Golden Gate A)
Moderator: Ben Lorica, Host The Data Exchange Podcast, Past: Program Chair of Strataconf.com & TheAIconf.com & tensorflow.world
Speakers: Raluca Ada Popa, Associate Professor, CS, UC Berkeley & Co-founder Opaque Systems, Vikas Bhatia, Head of Product, Azure Confidential Computing (ACC), Phil Rogers, Compute Server Architect at NVIDIA, Professor Joseph Gonzalez, UC Berkeley
Overcoming Barriers to Confidential Computing as a Universal Platform
John Manferdelli, Office of the CTO, VMware
Confidential Computing (CC) provides simple, principled confidentiality and integrity for workloads wherever they run. Within multi-cloud infrastructures, it opens the door for a universal distributed computing solution that addresses verifiable program isolation, programs as authenticated security principals, secure key management, trust management, and the ability to prove these security properties cryptographically “over the wire” to relying parties using attestation. Yet the adoption of confidential computing has been slowed by the difficulty of writing CC-enabled programs quickly and securely, and across hardware technologies. Manferdelli will describe issues and requirements for a universal programming platform and introduce the open source “Certifier Framework for Confidential Computing” that provides a step towards overcoming development barriers.
Panel: Trending Applications and Use Cases in Confidential Computing*
Ron Perez, Fellow, Chief Security Architect, Intel Office of CTO
Nelly Porter, Head of Product, GCP Confidential Computing and Encryption
Vishal Gossain, Practice Leader, Risk Analytics and Strategy, Ernst & Young
Andrew Brust, Moderator, Founder/CEO, Blue Badge Insights
Panelists including experts such Intel’s Chief Security Architect from Intel’s Office of the CTO, Head of Product, GCP Confidential Computing, and EY experts will discuss practical applications of confidential computing across banking, healthcare, insurance, Blockchain, AdTech, supply-chain and more. Panelists will discuss the trends and nuances across use cases, speak to examples and discuss multi-party computing, confidential AI, multi-party analytics, data clean rooms and more.
*A. Any views expressed by EY speakers are views of their own, and don’t necessarily represent the views of their employers.
B. EY is participating under Chatham house rules.
Confidential Computing as a Cornerstone for Cybersecurity Strategies and Compliance
Xochitl Monteon, Chief Privacy Officer and VP Cybersecurity Risk & Governance, Intel
With the growth of new government-driven cybersecurity strategies and continued expansion of global regulations, organizations are facing increased pressure to transform while still protecting their sensitive data. We will explore how confidential computing technology, rooted in secure clouds and hardware, is uniquely suited today to help organizations meet these new cybersecurity requirements and our vision for tomorrow’s emerging data landscape.
Trusted Execution Environments and Private Messaging
Rolfe Schmidt, Senior Researcher, Signal Messenger
Why Organizations Are Investing in Private Multi-Party Analytics
Ion Stoica, Professor UC Berkeley, Executive Chairman at Anyscale, Executive Chairman at Databricks, Board Member Opaque Systems
Panel: The Surging Demand for Data Clean Rooms. Why Now?
Frank Badalamenti, PwC Partner focused on Cyber, Risk and Anti-Fraud technologies, Rishabh Poddar, CEO Opaque Systems & Abhishek Chakraborty, Senior Product Manager, MiQ
VMs are the next perimeter
Dr Jethro Beekman, VP Technology & CISO, Fortanix
Citadel: Side-Channel-Resistant Enclaves on an Open-Source, Speculative, Out-of-Order Processor
Srini Devadas, Webster Professor of EECS, MIT
Innovation and Collaboration at Scale: How Confidential Computing Empowers Enterprises to Fully Embrace the Public Cloud
Ayal Yogev, CEO and Founder, Anjuna Security
On-Demand Track Sessions
To access all of the sessions in a particular track, click on one of the three tracks below.
|Track 1||Track 2||Track 3|
Experience the Opaque Platform for Secure Multi-party Analytics and AI
Speakers: Jay Harel, VP Products & Russell Goodwin, Customer Solutions, Opaque Systems
Use cases across banking, healthcare, AdTech, insurance, manufacturing and more that involve confidential and sensitive data require capabilities for secure inter-company and intra-company collaborative analytics on encrypted data in TEE’’s while ensuring each party is only privy to the data they own. Learn about Opaque’s unique platform for collaborative, multi-partly analytics and Data Clean Room capabilities and experience it through a live demo.
Enabling secure multi-party collaboration with Confidential Computing
Speaker: Rene Kolga, Product Manager, Google
GCP’s Confidential Space is a system that uses Confidential Computing to protect the workload from an untrusted workload operator, and provide code and data integrity, and data confidentiality guarantees. This unlocks multiple secure collaboration and privacy preserving analytics use cases.
Securing Secrets on Edge with SGX Enclaves
Speaker: Henry Wang, Network Platform Security, Software Engineer, Meta
• Overview of FBEnclave Platform
• Production Use Case on Edge
• Deployment Challenges and Tradeoffs
• Some Performance Benchmarks
An Open Source Certifier Framework for Confidential Computing
Speakers: John Manferdelli, Office of the CTO, VMware & Ye Li, Staff Engineer, VMware
Lowering the Barriers to Confidential Computing
Speakers: Thomas Fossati, Principal Engineer & Marc Meunier, Director Ecosystem Development, ARM
Building Privacy-preserving Multi-party Apps on Azure
Speaker: Graham Bury, Product Management, Azure Confidential Computing (ACC)
Application of confidential computing to Anti Money Laundering in Canada*
Speaker: Vishal Gossain, Practice Leader, Risk Analytics and Strategy, Ernst and Young
In Canada, financial institutions face regulatory and privacy challenges in sharing information with each other on their customers to build inter-institution models to better detect money laundering. In collaboration with UC Berkeley (MC2), EY is working with the Big 5 Canadian banks and regulators to create an AML consortium to share data for inter-FI human trafficking detection models. This talk will focus on the consortium framework, technology, progress made, challenges and future outlook.
*1. Any views expressed by speakers are views of their own, and don’t necessarily represent the views of their employers.
2. EY is participating under Chatham house rules.
Confidential Computing in Eyecare
Speaker: Jackie Sweet, Lead Software Engineer, Dr. Tavel Optical Group
Accelerating Confidential Computing Adoption: CCC’s Open Source Project Highlights
Speaker: Lily Sturmann, CCC and Office of the CTO Emerging Technologies, RedHat
The CCC brings together hardware providers, software solutions and cloud providers to ease and accelerate the adoption of confidential computing. Learn also how the CCC embodies open governance and open collaboration which includes driving commitments from numerous member organizations and actively supporting contributions from several open source projects such as Enarx, Keystone, Gramine, Open Enclave SDK and many more.
Pervasive Confidential Computing from Cloud-to-Edge
Speaker: Mona Vij, Principal Engineer, Intel Labs
Enabling Confidential Information Retrieval for Regulatory Compliance
Speaker: Dr. Richard Searle, Vice President of Confidential Computing, Fortanix
With the continuing expansion of data protection legislation, organizations must ensure compliance with legal obligations and organizational risk and compliance policies. In this session, learn how Confidential Computing supports controlled access to data for analysts working inside and outside the organizational boundary. The session will provide a contextual overview of the business requirement for confidential information retrieval, and details of how Confidential Computing is being used to protect regulated and classified data. A flexible and scalable architecture will be demonstrated, and comparisons provided to alternative solutions to the use-case requirement. The session will provide essential insights for data analysts, compliance officers, and those seeking to enhance the value of their available data assets.
Leveraging SGX/TDX for Secure and Efficient AI at ByteDance using BigDL PPML
Speakers: Ruide Zhang, Security Software Engineer, ByteDance Inc & Jiao Wang, AI Frameworks Engineer, Intel Corporation
While we can safeguard applications and data in memory using Intel SGX (Software Guard Extensions) or TDX (Trust Domain Extensions), ensuring the security of distributed AI workloads remains a complex challenge.
In this session, we will share our experience at ByteDance in developing end-to-end secure AI workloads utilizing Jeddak Sandbox and BigDL PPML. Our solution has been deployed in production for internal customers to build trusted AI applications on large-scale datasets.
Writing Digital Exams secured by Remote Attestation and Cloud Computing
Speaker: Thore Sommer, Keylime Maintainer, FHNW
During this we discuss the solutions that we found and challenges we faced to implement it in our exam system the Cloud Assessment Management Platform (CAMPLA).
Unlock the Potential of AI with Confidential Computing on NVIDIA GPUs
Speaker: Philip Rogers, VP System Software, NVIDIA
From a No to On-the-Go! A Frontrunners Story on How We Introduced Confidential Computing in Telco
Speaker: Jonas De Troy, Domain Manager Public Cloud & Edge, Proximus
Wrapping entire Kubernetes clusters into a confidential-computing envelope with Constellation
Speaker: Felix Schuster, CEO, Edgeless Systems
Collaborative Account Recovery for End-to-End Encryption Systems
Speakers: Mike Blaguszewski, Lead Backend Engineer, PreVeil Inc.
CONFIDENTIAL6G EU Research Project
Speakers: Drasko Draskovic, CEO, Abstract Machines & Dušan Borovčanin, Software Architect, Ultraviolet
TEEtime: A New Architecture for Bringing Sovereignty to Smartphones
Speakers: Ivan Puddu, ETH Zurich, Srdjan Capkun, Professor, ETH Zurich & Shweta Shinde, Assistant Professor, ETH Zurich
Phone manufacturers, operators, OS vendors, and users have diverse interests but imbalanced security dynamics. Developers entrust their security to OS vendors who can limit the user, OSes then rely on the firmware for protection.
In this talk, we present a new smartphone architecture called TEEtime that balances the ecosystem while maintaining compatibility. We create ARM TEE-based domains for users and OSes to isolate resources, peripherals, and interrupts as demonstrated with case studies.
Accelerating your digital business with Anjuna Confidential Computing Platform
Speakers: Mark Bower, VP Product, Anjuna Security
CC for AI/ML Models: A Comprehensive Security Framework for In-Use Protection, Ownership, and Data
Speaker: Jay Chetty, Cloud Security Architect, Confidential Computing, Intel
Data Clean Rooms for Secure Multi-Party Collaborative Analytics on Confidential Data
Speaker: Rishabh Poddar, CEO Opaque Systems
Confidential Containers, Grow Up & Leave the Nest
Speaker: Amar Gowda, Principal Product Manager, Microsoft
Learn how to deploy confidential pods on public clouds using Cloud API Adaptor (CAA), a sub-project of the Confidential Containers project. This open-source project enables the creation of CVMs on public clouds by integrating with Kubernetes and kata-containers. In this talk, we’ll discuss the technical details of CAA, its integration with k8s,the challenges of deploying pods to k8s using this non-obvious approach, attestation on the respective hardware used to power these virtual machines, etc.
An Open, Platform-Neutral Approach to Attestation
Speaker: Mathias Brossard, Principal Security Architect, Arm
Collaborative Confidential Computing: FHE vs sMPC vs Confidential Computing. Security Models and Real World Use Cases
Speaker: Bruno Grieder, CTO & Co-Founder, Cosmian
An Introduction to Huawei Qingtian Enclaves
Speaker: Quoc Do Le, Confidential Computing Lead, Huawei Munich Research Center
Qingtian Enclave provides a secure and isolated environment for running sensitive workloads and data in the cloud. With QingTian Enclaves, customers can leverage the power of cloud computing in Huawei Cloud while maintaining the confidentiality and integrity of their application.
Cocos AI—System for Confidential Collaborative AI
Speakers: Darko Draskovic, Senior Software Engineer, Ultraviolet
Filip Bugarski, Software Engineer, Ultraviolet
Cocos AI is a cloud distributed microservice-based solution that enables confidential and privacy-preserving AI/ML and allows data scientists to train AI and ML models on confidential data that is never revealed, and can be used for Secure Multi-Party Computation (SMPC).
Achieving Kata Confidential Containers Deployments on Azure for Your Zero Trust Operator Deployments
Speaker: Amar Gowda, Principal Product Manager, Microsoft
We have Confidential computing with AMD’s SEV-SNP based Trusted Execution Environments (TEE) which provides remote attestation, memory and code protection, isolation from host. Then we have Kata Confidential Containers Open-Source Project that allows you to achieve the highest form of isolation from other pods, host, and Kubernetes components in a single Kubernetes container host. Combining these two can help deliver zero trust operator deployments.