Machine Learning workspace should be configured as high business impact

Medium Azure General ml-machine-learning-workspace-configured

Applies to

Microsoft.MachineLearningServices/workspaces

What CGPulse checks

A resource passes this rule when hbiWorkspace must equal true. Anything else is reported as a finding with the evaluated property value attached as evidence.

How to fix it

Enable encryption at rest to protect stored data from media compromise. In Azure Portal: Workspace > Encryption > enable encryption. See: https://learn.microsoft.com/en-us/azure/machine-learning/concept-data-encryption

CLI

az ml workspace show --ids "{id}" --query "hbi_workspace" -o tsv

Bicep

// HBI must be set at creation time and cannot be changed
resource mlWorkspace 'Microsoft.MachineLearningServices/workspaces@2024-04-01' = {{
  name: '{name}'
  location: resourceGroup().location
  identity: {{
    type: 'SystemAssigned'
  }}
  properties: {{
    hbiWorkspace: true
    storageAccount: '<storage-account-id>'
    keyVault: 'var.key_vault_id'
    applicationInsights: '<app-insights-id>'
  }}
}}

Terraform

resource "azurerm_machine_learning_workspace" "{name}" {
  name                    = "{name}"
  resource_group_name     = "{rg}"
  location                = var.location
  high_business_impact    = true
  application_insights_id = "<app-insights-id>"
  key_vault_id            = var.key_vault_id
  storage_account_id      = "<storage-account-id>"
  identity {
    type = "SystemAssigned"
  }
}

Compliance frameworks

Cloud Security: Azure Foundations

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