comment

Author: Larry Franks

articles/machine-learning/how-to-network-security-overview.md

@@ -78,12 +78,18 @@ The next sections show you how to secure the network scenario described above. T
 
 ## Public workspace and secured resources
 
+> [!IMPORTANT]
+> While this is a supported configuration for Azure Machine Learning, Microsoft doesn't recommend it. You should verify this configuration with your security team before using it in production.
+
 If you want to access the workspace over the public internet while keeping all the associated resources secured in a virtual network, use the following steps:
 
 1. Create an [Azure Virtual Network](../virtual-network/virtual-networks-overview.md) that will contain the resources used by the workspace.
 1. Use __one__ of the following options to create a publicly accessible workspace:
 
     * Create an Azure Machine Learning workspace that __does not__ use the virtual network. For more information, see [Manage Azure Machine Learning workspaces](how-to-manage-workspace.md).
+
+    OR
+
     * Create a [Private Link-enabled workspace](how-to-secure-workspace-vnet.md#secure-the-workspace-with-private-endpoint) to enable communication between your VNet and workspace. Then [enable public access to the workspace](#optional-enable-public-access).
 
 1. Add the following services to the virtual network by using _either_ a __service endpoint__ or a __private endpoint__. Also allow trusted Microsoft services to access these services: