azure-ai-projects-java
Pass
Audited by Gen Agent Trust Hub on Sep 16, 2026
Risk Level: SAFE
Full Analysis
- Standard Authentication Practices: The skill correctly promotes the use of
DefaultAzureCredentialandManagedIdentityCredentialBuilder, which are secure methods for authenticating with Azure services without hardcoding secrets. - Secure Configuration: Environment variables (e.g.,
PROJECT_ENDPOINT,AI_SEARCH_CONNECTION_NAME) are used for configuration, adhering to standard DevOps security practices. - Official Library Usage: The skill references official Microsoft Azure libraries (
com.azure:azure-ai-projects) and provides typical boilerplate code for project, dataset, and connection management. - Safe Data Handling: Operations such as listing connections and creating datasets use standard SDK patterns with no evidence of unauthorized data exposure or exfiltration.
Audit Metadata