Azure Cloud HSM Hardware Audit Logging: Verifiable audit trails for security and compliance

By Dustin Ward

Organizations running regulated and security-sensitive workloads need trusted evidence of which authenticated users performed management operations on their hardware security modules (HSMs), what actions they took, and when. Today, we are announcing Hardware Audit Logging for Azure Cloud HSM, which collects audit records generated by the HSM itself for supported management operations. Security, compliance, and…

Introducing the Microsoft Copilot harness in Foundry Agent Service

By Dustin Ward

A model can reason about a task. Completing that task takes more: the right context, tools, execution environment, and controls, and an agent loop that brings them together. Microsoft’s unified harness strategy brings a shared execution foundation across our agent experiences while preserving customer choice. In Microsoft Foundry, that means you can choose a supported…

Scale reservoir uncertainty analysis with agile reservoir modeling

By Dustin Ward

Turn subsurface uncertainty into decision-ready insight Drilling campaigns are among the most expensive and operationally complex activities in the energy industry. Rigs, crews, equipment, and logistics are scheduled months in advance, leaving little room for delay. Every hour of downtime can carry significant costs. Geoscientists and engineers rely on reservoir models to understand the subsurface…

Advancing digital sovereignty with greater control and choice

By Dustin Ward

Across my conversations with leaders in government, critical infrastructure and regulated industries, one priority consistently rises to the top: putting technology to work on their most important systems while maintaining the control those systems require. This challenge is becoming more important as advanced cloud and AI capabilities move into public services, regulated processes and essential…

Designing for sovereign AI: A shared foundation from edge to cloud

By Dustin Ward

As organizations apply AI to more business-critical and data-intensive workloads, AI processing is moving closer to where data is created, decisions are made, and operations take place. Manufacturers can analyze confidential production data next to the systems that generate it. Pharmaceutical companies can apply AI to clinical trials within controlled environments. Government agencies can run…

Managing open-weight model risk in enterprise deployments

By Dustin Ward

The growing AI landscape is giving enterprises more choice in how they build, customize, and deploy increasingly capable models. Open-weight models are an important part of that landscape. They give enterprises access to model weights and greater flexibility to inspect, evaluate, modify, and run models within their own environments. While that flexibility can be valuable,…