Technical presentation - 30 minutes (including q&a)
With AI models handling sensitive data, security must extend beyond data protection at rest and in transit to also protect data during execution. Arm Confidential Compute Architecture (CCA) introduces Realm Virtual Machines (Realm VMs) that provides a trusted execution environment (TEE) with Hardware-backed isolation for AI workloads, memory encryption and attestation to verify the integrity of the realm vm. With Arm CCA, AI inference runs inside a TEE, ensuring that confidential data is processed securely, and AI model remains protected from external tampering. Fujitsu-MONAKA is a next-generation, high-performance, and energy-efficient Arm-based CPU designed for data centres. With a focus on AI acceleration, security, and open-source integration, MONAKA aims to provide a robust and secure computing environment for modern workloads through Arm CCA. In this session, we will showcase how FUJITSU-MONAKA will be leveraging essential technologies to support Confidential AI ecosystem through Linaro-supported QEMU Emulator. The related development work has also incorporated some of the quintessential features related to the implementation of Boot Loader, Secure Monitor, RMM and hypervisor enhancements to support Arm CCA based development. This ensures secure AI model execution with remote attestation for trusted AI processing and provides encrypted input/output data to safeguard privacy.
Shefali Kamal is a Software Engineering Manager at FUJITSU-MONAKA Software R&D Unit, HPC AI Lab, Fujitsu Research of India Private Limited, Bengaluru. She is deeply engaged in the research and development of confidential computing architecture tailored for Arm high-performance secure computing. Currently, Shefali is focused on developing the CCA software stack for FUJITSU-MONAKA, a cutting-edge 2nm Arm-based CPU set to be launched in 2027.