How would you design a secure, private networking architecture for Azure ML in an enterprise?

A secure Azure ML networking architecture uses VNet injection, private endpoints, restricted public access, NSGs, firewall rules, and private DNS zones to fully isolate ML workloads.

Enterprise ML systems often handle sensitive data, so network isolation becomes a core architectural requirement. Azure ML supports a fully private architecture where all traffic remains inside controlled networks.

Key components include:

3.…