Machine Learning workspace should use managed identity
High
Azure
General
ml-managed-identity
Applies to
Microsoft.MachineLearningServices/workspaces
What CGPulse checks
A resource passes this rule when identity.type must be one of ["SystemAssigned","UserAssigned","SystemAssigned,UserAssigned"]. Anything else is reported as a finding with the evaluated property value attached as evidence.
How to fix it
Enable managed identity to eliminate stored credentials and improve security. In Azure Portal: Workspace > Identity > enable System-assigned managed identity. See: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-identity-based-service-authentication
CLI
az resource update --ids "{id}" --set identity.type=SystemAssignedTerraform
resource "azurerm_machine_learning_workspace" "{name}" {
name = "{name}"
resource_group_name = "{rg}"
location = var.location
application_insights_id = "<app-insights-id>"
key_vault_id = var.key_vault_id
storage_account_id = "<storage-account-id>"
identity {
type = "SystemAssigned"
}
}
Compliance frameworks
Is your environment compliant with this rule?
CGPulse checks it — and 621 others — against your Azure and AWS accounts with read-only access.
Related Azure rules
- Action Group should be enabled
- Activity Log Alert should be enabled
- AKS cluster logs should be sent to Log Analytics
- AKS cluster must enable RBAC
- AKS cluster must enable RBAC
- AKS cluster should be a private cluster
- AKS cluster should disable local accounts
- AKS cluster should enable Azure RBAC for Kubernetes