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removing document for security initiative.
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articles/machine-learning/concept-workspace.md

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@@ -101,7 +101,7 @@ There are multiple ways to create a workspace. To get started, use one of the fo
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* Use the [VS Code extension](how-to-manage-resources-vscode.md#create-a-workspace) if you work in Visual Studio Code.
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To automate workspace creation using your preferred security settings:
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* [Azure Resource Manager / Bicep templates](how-to-create-workspace-template.md) provide a declarative syntax to deploy Azure resources. An alternative option is to use [Terraform](how-to-manage-workspace-terraform.md). Also see [How to create a secure workspace by using a template](tutorial-create-secure-workspace-template.md).
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* [Azure Resource Manager / Bicep templates](how-to-create-workspace-template.md) provide a declarative syntax to deploy Azure resources. An alternative option is to use [Terraform](how-to-manage-workspace-terraform.md). Also see the [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/) or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
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:::moniker range="azureml-api-2"
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* Use the [Azure Machine Learning CLI](how-to-configure-cli.md) or [Azure Machine Learning SDK for Python](how-to-manage-workspace.md?tabs=python#create-a-workspace) for prototyping and as part of your [MLOps workflows](concept-model-management-and-deployment.md).
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:::moniker-end

articles/machine-learning/how-to-enable-studio-virtual-network.md

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* An existing [Azure storage account added your virtual network](v1/how-to-secure-workspace-vnet.md#secure-azure-storage-accounts).
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:::moniker-end
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* To learn how to create a secure workspace, see [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md) or [Tutorial: Create a secure workspace using a template](tutorial-create-secure-workspace-template.md).
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* To learn how to create a secure workspace, see [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md), [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/), or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
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## Limitations
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articles/machine-learning/how-to-high-availability-machine-learning.md

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## Next steps
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To learn about repeatable infrastructure deployments with Azure Machine Learning, use an [Azure Resource Manager template](tutorial-create-secure-workspace-template.md).
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To learn about repeatable infrastructure deployments with Azure Machine Learning, use a [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/), or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).

articles/machine-learning/how-to-network-isolation-planning.md

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:::image type="content" source="media/how-to-network-isolation-planning/recommended-network-diagram.png" alt-text="Diagram of the recommended network architecture.":::
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You can automate this environments creation using [a template](tutorial-create-secure-workspace-template.md) without managed online endpoint or AKS. Managed online endpoint is the solution if you don't have an existing AKS cluster for your AI model scoring. See [how to secure online endpoint](how-to-secure-online-endpoint.md) documentation for more info. AKS with Azure Machine Learning extension is the solution if you have an existing AKS cluster for your AI model scoring. See [how to attach kubernetes](how-to-attach-kubernetes-anywhere.md) documentation for more info.
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You can automate this environments creation using a [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/) or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure). without managed online endpoint or AKS. Managed online endpoint is the solution if you don't have an existing AKS cluster for your AI model scoring. See [how to secure online endpoint](how-to-secure-online-endpoint.md) documentation for more info. AKS with Azure Machine Learning extension is the solution if you have an existing AKS cluster for your AI model scoring. See [how to attach kubernetes](how-to-attach-kubernetes-anywhere.md) documentation for more info.
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### Removing firewall requirement
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articles/machine-learning/how-to-network-security-overview.md

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* [Use a firewall](how-to-access-azureml-behind-firewall.md)
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:::moniker-end
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For a tutorial on creating a secure workspace, visit the [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md) or [Tutorial: Create a secure workspace using a template](tutorial-create-secure-workspace-template.md) articles.
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For a tutorial on creating a secure workspace, visit the [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md), [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/), or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
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## Prerequisites
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articles/machine-learning/how-to-private-endpoint-integration-synapse.md

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* Azure Key Vault
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* Azure Container Registry
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A quick and easy way to build this configuration is to use a [Microsoft Bicep or HashiCorp Terraform template](tutorial-create-secure-workspace-template.md).
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A quick and easy way to build this configuration is to use a [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/) or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
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* An Azure Synapse workspace in a __managed__ virtual network, using a __managed__ private endpoint. For more information, see [Azure Synapse Analytics Managed Virtual Network](/azure/synapse-analytics/security/synapse-workspace-managed-vnet).
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articles/machine-learning/how-to-registry-network-isolation.md

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The following diagram shows a basic network configuration and how the Azure Machine Learning registry fits in. If you're already using Azure Machine Learning workspace and have a secure workspace configuration where all the resources are part of virtual network, you can create a private endpoint from the existing virtual network to Azure Machine Learning registry and it's associated resources (storage and ACR).
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If you don't have a secure workspace configuration, you can create it using the [Create a secure workspace in Azure portal](tutorial-create-secure-workspace.md) or [Create a secure workspace with a template](tutorial-create-secure-workspace-template.md) articles.
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If you don't have a secure workspace configuration, you can create it using the [Create a secure workspace in Azure portal](tutorial-create-secure-workspace.md) article, [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/), or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
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:::image type="content" source="./media/how-to-registry-network-isolation/basic-network-isolation-registry.png" alt-text="Diagram of registry connected to Virtual network containing workspace and associated resources using private endpoint.":::

articles/machine-learning/how-to-secure-inferencing-vnet.md

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> * [Use custom DNS](how-to-custom-dns.md)
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> * [Use a firewall](how-to-access-azureml-behind-firewall.md)
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>
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> For a tutorial on creating a secure workspace, see [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md) or [Tutorial: Create a secure workspace using a template](tutorial-create-secure-workspace-template.md).
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> For a tutorial on creating a secure workspace, see [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md), [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/), or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
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## Prerequisites
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articles/machine-learning/how-to-secure-kubernetes-inferencing-environment.md

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* [Use custom DNS](how-to-custom-dns.md)
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* [Use a firewall](how-to-access-azureml-behind-firewall.md)
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* [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md)
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* [Tutorial: Create a secure workspace using a template](tutorial-create-secure-workspace-template.md)
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* [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/)
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* [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
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* [API platform network isolation](how-to-configure-network-isolation-with-v2.md)

articles/machine-learning/how-to-secure-training-vnet.md

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* [Use custom DNS](how-to-custom-dns.md)
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* [Use a firewall](how-to-access-azureml-behind-firewall.md)
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For a tutorial on creating a secure workspace, see [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md) or [Tutorial: Create a secure workspace using a template](tutorial-create-secure-workspace-template.md).
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For a tutorial on creating a secure workspace, see [Tutorial: Create a secure workspace](tutorial-create-secure-workspace.md), [Bicep template](/samples/azure/azure-quickstart-templates/machine-learning-end-to-end-secure/), or [Terraform template](https://github.com/Azure/terraform/tree/master/quickstart/201-machine-learning-moderately-secure).
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In this article you learn how to secure the following training compute resources in a virtual network:
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> [!div class="checklist"]

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