azure-ai-ml-py

Pass

Audited by Gen Agent Trust Hub on Nov 4, 2026

Risk Level: SAFE
Full Analysis
  • [SAFE]: The skill utilizes official, well-known libraries from Microsoft (azure-ai-ml, azure-identity) for cloud resource management.
  • [SAFE]: Authentication is implemented via DefaultAzureCredential, which is the industry-standard approach for secure, managed identity authentication in Azure environments.
  • [SAFE]: Sensitive configuration data, such as subscription and resource group IDs, are managed through environment variables and placeholders, avoiding the risk of hardcoded credentials.
  • [SAFE]: External container images are sourced from the trusted Microsoft Container Registry (mcr.microsoft.com).
  • [SAFE]: The code snippets are transparent, following official documentation for Azure ML SDK v2 without any hidden or suspicious logic.
Audit Metadata
Risk Level
SAFE
Analyzed
Nov 4, 2026, 09:42 PM