Azure

Azure Project Tessera Open-Sources Integrated HSM

3 min read

Summary

Microsoft has announced Project Tessera, turning Azure Integrated HSM into a fully open-source initiative developed with Marvell, Oracle, and the Open Compute Project. The move aims to improve hardware-backed key protection, interoperability, and post-quantum readiness for organizations facing growing AI-driven and quantum-era security threats.

Need help with Azure?Talk to an Expert

Introduction

Microsoft has unveiled Project Tessera, the next evolution of Azure Integrated HSM, as a fully open-source initiative. Announced at the OCP Global Summit, the project is designed to strengthen hardware-based key protection while helping the industry prepare for AI-driven attacks and the transition to post-quantum cryptography.

For IT and security teams, this matters because keys and credentials remain some of the most critical assets in any environment. Compromise at this layer can enable impersonation, signing abuse, and broader infrastructure attacks.

What’s new with Project Tessera

Project Tessera expands Azure’s integrated HSM model into an open ecosystem with contributions from Microsoft, Marvell, Oracle, and OCP.

Key announcements include:

  • Open-source release of the integrated HSM architecture, specifications, protocols, drivers, software, firmware, and reproducible build environments
  • A roadmap toward fully open-source silicon implementation
  • Focus on FIPS 140-3 Level 3 key protection across the key lifecycle
  • Built-in support for post-quantum cryptography to help organizations prepare for future cryptographic migration
  • Demonstrated interoperability between Tessera Integrated HSM and Marvell LiquidSecurity 2 HSM

Microsoft says Tessera builds on lessons learned from deploying Azure Integrated HSM at scale and follows the collaborative open model used in Caliptra.

Why this matters for administrators

Traditional centralized HSM deployments can introduce latency and operational complexity because cryptographic operations traverse the network. That often leads to risky workarounds such as:

  • Caching keys outside the HSM
  • Exporting wrapped keys for external use
  • Using software-held keys to reduce latency
  • Relying on proprietary protocols that limit interoperability

Project Tessera is intended to reduce those anti-patterns by bringing cryptographic operations closer to workloads while keeping keys protected inside the HSM boundary.

For Azure and security administrators, the biggest implications are:

  • Better alignment with zero trust and hardened key management practices
  • More flexibility in hybrid and heterogeneous HSM environments
  • Improved readiness for post-quantum migration planning
  • Greater transparency through open standards and open-source components

Next steps

Organizations that manage sensitive signing, identity, or encryption workloads should:

  1. Review current HSM architectures for key-management anti-patterns
  2. Evaluate post-quantum cryptography requirements in long-term security roadmaps
  3. Monitor the Tessera Integrated HSM GitHub for specifications, software, and hardware updates
  4. Assess whether open, interoperable HSM models could reduce operational risk in existing environments

Project Tessera is still evolving, but it signals Microsoft’s broader push toward open hardware security standards that could influence future Azure and enterprise security architectures.

Need help with Azure?

Our experts can help you implement and optimize your Microsoft solutions.

Talk to an Expert

Stay updated on Microsoft technologies

AzureHSMhardware securitypost-quantum cryptographyProject Tessera

Related Posts

Azure

Azure Maia 300 Architecture: Key AI Infrastructure Advances

Microsoft has detailed the Azure Maia 300 architecture, its third-generation AI accelerator platform designed specifically for large language model inference at cloud scale. The update focuses on better performance per watt, higher memory bandwidth, and a larger scale-up network, which matters for organizations relying on Azure-hosted AI services and future agentic workloads.

Azure

Azure Cloud-Native AI Foundation: What IT Leaders Need

Microsoft is outlining how Azure’s cloud-native foundation must evolve to support the next generation of AI and agentic applications. The update highlights coordinated infrastructure, Kubernetes-based open technologies, FinOps for AI costs, and agentic operations as key priorities for organizations moving AI into production.

Azure

Azure AI Infrastructure Advances Open Industry Collaboration

Microsoft outlined its next phase of Azure AI infrastructure, combining new custom silicon, networking, power, cooling, and hardware security innovations with open industry collaboration. The announcement matters for IT and cloud leaders because it highlights how Azure plans to improve AI performance, efficiency, scalability, and sustainability for enterprise workloads.

Azure

Azure Virtualization Leader in 2026 Gartner MQ

Microsoft has been named a Leader in the 2026 Gartner Magic Quadrant for Server Virtualization Platforms. The announcement highlights Microsoft's focus on operational consistency across cloud, datacenter, edge, and sovereign environments through Azure, Azure Arc, and Hyper-V.

Azure

Azure AI Infrastructure Lifecycle: Supply Chain to Fleet

Microsoft shared how it is applying AI and multi-agent workflows across the Azure infrastructure lifecycle, from demand planning and logistics to fleet operations and hardware reliability. The approach focuses on redesigning processes first, then using AI to reduce manual effort, speed decisions, and improve service reliability while keeping engineers in control.

Azure

Azure Industrial AIoT Platform Named Gartner Leader

Microsoft says it has been named a Leader in the 2026 Gartner Magic Quadrant for Global Industrial AIoT Platforms. The recognition highlights Azure’s cloud-to-edge industrial stack, combining IoT, governed data, security, and AI-driven operations to help organizations move from connected operations to continuously learning systems.