Showing category results for Microsoft Foundry

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...

Learn how Azure AI Speech LLM 09-2026 improves multilingual language and locale support with improved quality and latency.

Build agents that automate tasks across public and private websites with managed browsers, native toolbox integration, Live View, and human control.

Explore September's models, Routines, Tool Search, Model Router, and Insights through one two-agent workflow that turns public releases into a Foundry developer changelog.

Learn how Azure Content Understanding grounding, field-level confidence, and calibration help teams prioritize human review and build reliable document workflows.

Learn how Azure Content Understanding prebuilt analyzers combine domain knowledge with grounding and confidence, and what Advanced Contextualization preview benchmarks show about quality, modeled cost, and latency.

Compare Azure Document Intelligence and Azure Content Understanding across extraction architectures, workload fit, Layout capabilities, deployment options, and practical evaluation criteria.

Learn why stronger AI models make trustworthy content extraction more important, how Azure Content Understanding and Azure Document Intelligence serve different needs, and what comes next.

Define and attach an outbound policy to a hosted agent in Microsoft Foundry, observe calls in Audit, and verify allowed and denied destinations under Enforced mode.

Agents are rapidly evolving beyond chat. The first generation of agents waited for a person to send a message. Today, organizations want agents that can monitor work, respond to business events, and continue tasks over time. An agent might triage a newly opened GitHub issue, respond when a message appears in a Microsoft Teams channel, prepare a rep...