---
id: 6598
title: "AzureML and JFrog: Securing the Model Lifecycle"
source_domain: jfrog.com
source_url: "https://jfrog.com/blog/azureml-and-jfrog-securing-the-model-lifecycle/"
published_at: "2026-03-13T22:48:33Z"
tags: ["ai-security", "jfrog", "governance", "shadow-ai", "mlops", "azureml", "ai-bom", "model-lifecycle", "jfrog-com"]
phying_url: "https://phying.com/item/6598"
lang: en
---

# AzureML and JFrog: Securing the Model Lifecycle

## Summary

JFrog and Microsoft detail a 4-step workflow to secure AzureML's model lifecycle: scanned, versioned artifacts with AI-BOMs close the Shadow AI gap between notebook and production.

## Intelligence Metadata

- **Sources:** jfrog.com
- **Published:** 2026-03-13T22:48:33Z
- **Original:** https://jfrog.com/blog/azureml-and-jfrog-securing-the-model-lifecycle/
- **Phying News:** https://phying.com/item/6598