deployment-paradigms
Pass
Audited by Gen Agent Trust Hub on Mar 10, 2026
Risk Level: SAFE
Full Analysis
- [SAFE]: The content is purely educational, providing architectural patterns and code examples for ML deployment including batch, real-time, and streaming modes. No execution of untrusted code or unauthorized data access is present.
- [DATA_EXFILTRATION]: All network-related snippets follow standard implementation patterns for their respective services (FastAPI, Kafka, AWS SageMaker) and do not involve sensitive data exfiltration or hardcoded credentials.
- [EXTERNAL_DOWNLOADS]: While several industry-standard Python libraries are mentioned, there are no instructions to install unverified packages or download code from untrusted remote sources.
Audit Metadata