Building a Governed AI Model Supply Chain: Integrating AWS SageMaker and the JFrog Platform

Integrating AWS SageMaker with JFrog Artifactory addresses the governance gap in enterprise AI model management. The post explains why S3 alone is insufficient as a model registry, highlighting issues with metadata, versioning, and fragmented audit trails across weights, inference containers, and dependencies. The proposed solution centralizes the 'Model Triad' in JFrog Artifactory, enabling immutable versioning, curated proxying for Hugging Face models, and automated SBOM/AIBOM generation via JFrog Xray. A three-stage integration walkthrough covers unified orchestration with secret externalization, secure model lineage by rerouting Hugging Face downloads through Artifactory, and dynamic runtime model resolution at inference time.