June 2026 monthly summary for azure-ai-foundry/foundry-samples: Implemented Microsoft Entra ID authentication for Azure Storage connections, introducing account-level and project-level access connections and ensuring the system-assigned managed identity has the required storage permissions. This lays the groundwork for secure, identity-driven access and streamlined automation. Changes were implemented via infrastructure-as-code updates in Bicep, with a commit reference supporting the changes.

May 2026 highlights for the Azure/azureml-assets repo: Delivered Evaluator Metadata Enhancements and Backward Compatibility, introducing top-level token metadata in evaluation results and updating evaluator versioning. Implemented token usage properties in top-level evaluator results and added forward-compatible metadata fields to preserve backward compatibility across evaluators; this lays the groundwork for richer evaluation analytics and auditability.

November 2025 monthly summary for Azure/azureml-assets: Upgraded the Prohibited Actions and Sensitive Data Leakage evaluators to Version 4 with expanded classification, increasing coverage across additional categories and improving detection accuracy. This enhancement was implemented via commit 2b341650125200b6569752982c13891278d19b16 (updated (#4591)). The upgrade strengthens data protection governance for Azure ML assets and reduces leakage risk in data handling workflows.

October 2025 monthly summary for Azure/azureml-assets focusing on delivering robust evaluation tooling, standardizing naming, and implementing default evaluation tags to improve security postures and product usability.

August 2025 Monthly Summary for Azure SDK work in Azure/azure-sdk-for-python. Focused on delivering security-testing enhancements by introducing Red Team capabilities for the Azure AI Projects SDK. Implemented comprehensive test coverage for both synchronous and asynchronous operations, including validation of Red Team scan responses and Azure ML-specific properties. The work is documented with commits linked to #42711. Impact: strengthens security testing, enables earlier risk detection, and improves QA confidence for customers deploying AI features within Azure SDKs.