adf-ml-analytics
Pass
Audited by Gen Agent Trust Hub on Mar 21, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The skill documents official integration patterns for Azure services using secure, documented API endpoints and ADF-native activities.
- [SAFE]: Authentication across all examples leverages Managed Service Identity (MSI) or retrieves credentials dynamically from Azure Key Vault, eliminating the risk of hardcoded secrets.
- [SAFE]: Patterns for data archival from SQL to Azure Storage follow best practices for partitioning and columnar storage formats (Parquet) for ML workloads.
- [SAFE]: SQL scripts and data flow patterns include validation and security considerations, such as using QUOTENAME to prevent SQL injection in dynamic statements.
Audit Metadata