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Merge pull request #110107 from nishankgu/patch-27
Update concept-enterprise-security.md
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articles/machine-learning/concept-enterprise-security.md

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@@ -129,7 +129,12 @@ You can also enable Azure Private Link for your workspace. Private Link allows y
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### Encryption at rest
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> [!IMPORTANT]
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> If your workspace contains sensitive data we recommend setting the [hbi_workspace flag](https://docs.microsoft.com/python/api/azureml-core/azureml.core.workspace(class)?view=azure-ml-py#create-name--auth-none--subscription-id-none--resource-group-none--location-none--create-resource-group-true--sku--basic---friendly-name-none--storage-account-none--key-vault-none--app-insights-none--container-registry-none--cmk-keyvault-none--resource-cmk-uri-none--hbi-workspace-false--default-cpu-compute-target-none--default-gpu-compute-target-none--exist-ok-false--show-output-true-) while creating your workspace. This controls the amount of data Microsoft collects for diagnostic purposes and enables additional encryption in Microsoft managed environments.
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> If your workspace contains sensitive data we recommend setting the [hbi_workspace flag](https://docs.microsoft.com/python/api/azureml-core/azureml.core.workspace(class)?view=azure-ml-py#create-name--auth-none--subscription-id-none--resource-group-none--location-none--create-resource-group-true--sku--basic---friendly-name-none--storage-account-none--key-vault-none--app-insights-none--container-registry-none--cmk-keyvault-none--resource-cmk-uri-none--hbi-workspace-false--default-cpu-compute-target-none--default-gpu-compute-target-none--exist-ok-false--show-output-true-) while creating your workspace. This controls the amount of data Microsoft collects for diagnostic purposes and enables additional encryption in Microsoft managed environments. In addition it enables the following:
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* Starts encrypting the local scratch disk in your Amlcompute cluster provided you have not created any previous clusters in that subscription. Else, you need to raise a support ticket to enable encryption of the scratch disk of your compute clusters
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* Cleans up your local scratch disk between runs
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* Securely passes credentials for your storage account, container registry and SSH account from the execution layer to your compute clusters using your key vault
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* Enables IP filtering to ensure the underlying batch pools cannot be called by any external services other than AzureMachineLearningService
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For more information on how encryption at rest works in Azure, see [Azure data encryption at rest](https://docs.microsoft.com/azure/security/fundamentals/encryption-atrest).
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