Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.

Microsoft's Azure AI Foundry Service now supports the Model Context Protocol (MCP), revolutionizing AI agent integration. This streamlined approach eliminates cumbersome custom coding, allowing ...

Microsoft is introducing several new features in Azure AI Studio aimed at enabling companies to build and deploy fine-tuned AI 'copilots.' ...

These three new Azure technologies can extend your AI capabilities, and allow you to deliver these capabilities at enterprise scale.

Monitoring: Integrated with Azure Monitor or Databricks tools, the framework tracks metrics like model accuracy or data drift, with thresholds set in metadata.