Control: Machine Learning workspaces should restrict public access
Description
Disabling public network access improves security by ensuring that Machine Learning workspace isn't exposed on the public internet. Creating private endpoints can limit exposure of Machine Learning workspace.
Usage
Run the control in your terminal:
powerpipe control run terraform_azure_compliance.control.machine_learning_workspace_restrict_public_accessSnapshot and share results via Turbot Pipes:
powerpipe loginpowerpipe control run terraform_azure_compliance.control.machine_learning_workspace_restrict_public_access --shareSQL
This control uses a named query:
select address as resource, case when (attributes_std ->> 'public_network_access_enabled') = 'false' then 'ok' else 'alarm' end status, split_part(address, '.', 2) || case when (attributes_std ->> 'public_network_access_enabled') = 'false' then ' not publicly accessible' else ' publicly accessible' end || '.' reason , path || ':' || start_linefrom terraform_resourcewhere type = 'azurerm_machine_learning_workspace';