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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.
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