Microsoft Foundry is the current platform name for the developer experience previously called Azure AI Foundry. Keep product naming separate from the identity, data, and application controls that make an AI system reliable.

Content reviewed: October 25, 2026
Microsoft Foundry
Foundry supports building and operating AI applications with models, agents, evaluation, and related tooling. Availability and behavior vary by model, deployment type, region, and feature status. Verify each selected service rather than assuming every catalog item has identical controls.
Azure Machine Learning and search
Azure Machine Learning serves custom machine-learning development and operations. Azure AI Search can support retrieval architectures. A retrieval index does not replace source authorization: ensure the application enforces document access and propagates permission changes.
Identity and tool boundaries
- Use Microsoft Entra ID and scoped managed identities where supported.
- Authorize access outside the model and validate tool arguments in application code.
- Keep high-impact actions behind an appropriately reviewed execution path.
- Review network exposure, logging, retention, and encryption for the deployed configuration.
- Test quality, prompt injection, access violations, and recovery before expansion.
Evaluation and oversight
Maintain a representative evaluation set and review failures before changing models, prompts, retrieval, or tools. Record the deployed versions and configuration. Responsible-AI guidance and content filters support a control program; they do not certify the application or guarantee correctness.