OC3 - Open Confidential Computing Conference Recap

calendarMar 28, 2025 · 4 min read · Security AI Confidential Computing Secure Multiparty Collaboration Confidential LLM RAG  ·
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Recap OC3 Conference - Bringing all Confidential Experts together and share new features what is coming


Yesterday, I had the pleasure, to be part of OC3 conference which was hosted by Edge Systems, physical in Berlin and digital with sponsers "Google, Intel, Microsoft, Airbus, ARM and Confidential Computing Consortium". With more then 30 speakers, amazing stories where shared how to use Confidential Computing, informing new features, but also shared concrete usecases in action.


A glance of the sessions which where there:

  • NVIDIA Confidential Computing: Key Insights;
  • Confidential GenAI as a Service: Building Privatemode;
  • Confidential Computing: Preventing Fraud through Secure Industry Collaboration;
  • Panel: The Status Quo and Future of Confidential Computing; with Greg Lavender (Intel), Mark Russinovich (Microsoft), Mark Papermaster (AMD) and Daniel Rohrer (NVIDEA).
  • Ensuring Confidentiality on Custom Silicon;
  • Confidential Computing in the Context of Multi Domain Combat Cloud;
  • Why Remote Attestation is the Next Business Driver;
  • Tools to Build a More Confidential Future;
  • Advancements in Azure Confidential Computing: Technical Innovations and Real-World Applications;
  • Ubuntu Core - An Immutable OS for Securing Confidential Virtual Machines and Empowering ISVs to Build Trusted Appliances;
  • Intel TDX Connect: Understanding Goals, Lifecycle, and Ecosystem Integration;
  • Attested End-to-End Encrypted Channel with Noise Protocol;
  • Meaningful Attestations from Supply Chain to the World;
  • The Future of AI is Confidential;
  • Advancing Secure Processing with FUJITSU-MONAKA and Arm Confidential Compute Architecture;
  • Remote Attestation for NVIDIA Hopper and Blackwell GPUs, CPUs and Beyond;
  • Secure Deployment of Hugging Face Models in Trusted Execution Environments Using Evidence-API and Confidential AI Loader;
  • Attestation Everywhere: The Path Towards Making Attestation Comprehensible and Standards-Based;
  • COCONUT-SVSM: Architecture, Advancements, and Future Directions for Secure CVM Services;
  • OpenHCL, the New Open-Source Paravisor;
  • Confidential Computing Solution to Implement Digital Healthcare Transformation;
  • Making Confidential Containers Accessible: The Story of Contrast;
  • RA-WEBs: Remote Attestation for WEB services.

I really liked the discussion between Greg Lavender (Intel), Mark Russinovich (Microsoft), Mark Papermaster (AMD) and Daniel Rohrer (NVIDEA). How they see the technology develop, explore the latest advancements in confidential computing, including use cases, regulatory landscapes, industry collaborations, initiatives, and breakthroughs. Especially the question how do you see the future and the upcoming technology "Quantum computing".


One of my highlights was this session, which was promoting the features which are currently build and the ones that are coming.

  • [Azure Confidential Clean Rooms] - Currently in Preview; The possibility share privacy sensitive data such as personally identifiable information (PII), protected health information (PHI) and cryptographic secrets confidently help ensure that your data remains protected throughout its lifecycle from other collaborators and from Azure operators. Who the clean room starts, does not matter.
  • [Confidential Model as a Service (MaaS) inferencing with Azure OpenAI Service Whisper model] - currently in Preview; It offers end-to-end privacy of prompts containing audio and transcribed text responses by ensuring that the prompts are decrypted only within Trusted Execution Environments (TEE) on Azure Confidential GPU virtual machines (VMs). Confidential inferencing is designed for enterprise and cloud native developers building AI applications that need to process sensitive or regulated data in the cloud that must remain encrypted, even while being processed.
  • [Confidential AI] - General Available; Protection of data and models throughout the AI lifecycle, including when data and models are in use.
  • [Azure Confidential GPU VMs powered by NVIDA] - General Available; Ideal for inferencing, fine-tuning or training small-to-medium sized models such as Whisper, Stable diffusion and its variants (SDXL, SSD), and language models such as Zephyr, Falcon, GPT2, MPT, Llama2, Wizard and Xwin.

For more info, please checkout the links below:


It was very interesting evening and I enjoyed the new topics I heared. Can't wait to test the latest technology when it comes available. If you missed the show, don't worry. Please checkout the Youtube channel in which the video's will be posted.

Till next time, take care!