Azure > Databricks > Workspace

Azure > Databricks > Workspace > Delete

Process events for Azure Databricks service Workspace resources.

The router receives events from the event handler and creates, updates, or deletes Workspace resources in the CMDB.


Azure > Resource Group

Azure > Databricks > Workspace > Router

Update the tags for Azure Databricks workspace.


Azure > Databricks > Workspace > Set Tags

Take an action when an Azure Databricks workspace is not active based on the&#92;n`Azure &gt; Databricks &gt; Workspace &gt; Active &gt; * policies`.&#92;n&#92;nThe Active control determines whether the resource is in active use, and if not, has&#92;nthe ability to delete / cleanup the resource. When running an automated compliance&#92;nenvironment, it&#39;s common to end up with a wide range of alarms that are difficult&#92;nand time consuming to clear. The Active control brings automated, well-defined&#92;ncontrol to this process.&#92;n&#92;nThe Active control checks the status of all defined Active policies for the&#92;nresource (`Azure &gt; Databricks &gt; Workspace &gt; Active &gt; *`),&#92;nraises an alarm, and takes the defined enforcement action. Each Active&#92;nsub-policy can calculate a status of active, inactive or skipped. Generally,&#92;nif the resource appears to be Active for any reason it will be considered Active.&#92;n&#92;n**Note:** In contrast with Approved, where if the resource appears to be Unapproved&#92;nfor any reason it will be considered Unapproved.&#92;n&#92;nSee [Active](https://turbot.com/guardrails/docs/concepts/guardrails/active) for more information.&#92;n

Azure > Databricks > Workspace > Active > Age

Azure > Databricks > Workspace > Active > Last Modified

Azure > Databricks > Workspace > Active

This control serves as a hierarchical parent for more specific Allowed controls, such as region-based controls and custom rule-based controls.&#92;n

Azure > Databricks > Workspace > Allowed

Take an action when an Azure Databricks workspace is not allowed based on custom rules.&#92;n&#92;nThe `Allowed &gt; Custom` control checks if the workspace is allowed based on the `Allowed &gt; Custom &gt; *` policies. If the workspace is not allowed, this control raises an alarm and takes the defined enforcement action.&#92;n&#92;nFor any enforcement actions that specify `if new`, e.g., `Enforce: Delete if not allowed and resource is new`, this control will only take the enforcement actions for resources created within the last 60 minutes.&#92;n

Azure > Databricks > Workspace > Allowed > Custom > Rules

Azure > Databricks > Workspace > Allowed > Custom

Take an action when an Azure Databricks workspace is created in a region that is not allowed.&#92;n&#92;nThe `Allowed &gt; Region` control checks if the workspace is created in an allowed region based on the `Allowed &gt; Region &gt; *` policies. If the workspace is created in a region that is not in the allowed list, this control raises an alarm and takes the defined enforcement action.&#92;n&#92;nFor any enforcement actions that specify `if new`, e.g., `Enforce: Delete if region not allowed and workspace is new`, this control will only take the enforcement actions for resources created within the last 60 minutes.&#92;n

Azure > Databricks > Workspace > Allowed > Region > Regions

Azure > Databricks > Workspace > Allowed > Region

Take an action when an Azure Databricks workspace is not approved based on `Azure &gt; Databricks &gt; Workspace &gt; Approved &gt; * policies`.&#92;n&#92;nThe Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.&#92;n&#92;nFor any enforcement actions that specify `if new`, e.g., `Enforce: Delete unapproved if new`, this control will only take the enforcement actions for resources created within the last 60 minutes.&#92;n&#92;nSee [Approved](https://turbot.com/guardrails/docs/concepts/guardrails/approved) for more information.&#92;n

Azure > Databricks > Workspace > Approved > Custom

Azure > Databricks > Workspace > Approved > Usage

Azure > Databricks > Enabled

Azure > Databricks > Workspace > Approved > Regions

Azure > Databricks > Workspace > Approved

Record and synchronize details for the Azure Databricks workspace into the CMDB.&#92;n&#92;nThe [CMDB](https://turbot.com/guardrails/docs/concepts/guardrails/cmdb) control is&#92;nresponsible for populating and updating all the attributes for that&#92;nresource type in the Guardrails CMDB.&#92;n&#92;n**Note:** If CMDB is set to Skip for a resource, then it will not be added&#92;nto the CMDB, and no controls that target it will run.&#92;n&#92;nCMDB controls also use the Regions policy associated with the resource. If&#92;nregion is not in `Azure &gt; Databricks &gt; Workspace &gt; Regions` policy, the CMDB control will delete the&#92;nresource from the CMDB.&#92;n

Azure > Databricks > Workspace > Regions

Azure > Databricks > Workspace > CMDB

Discover all Azure Databricks workspace resources and add them to the CMDB.&#92;n&#92;nThe [Discovery](https://turbot.com/guardrails/docs/concepts/guardrails/discovery) control is responsible for finding resources of a specific type. It periodically searches for new resources and saves them to the CMDB. Once discovered, resources are then responsible for tracking changes to themselves through the [CMDB](https://turbot.com/guardrails/docs/concepts/guardrails/cmdb) control.&#92;n&#92;n**Note:** Discovery and CMDB controls also use the Regions policy associated with the resource. If the region is not in `Azure &gt; Databricks &gt; Workspace &gt; Regions` policy, the CMDB control will delete the resource from the CMDB.&#92;n

Azure > Databricks > Workspace > Discovery

Take an action when an Azure Databricks workspace tags is not updated based on the `Azure &gt; Databricks &gt; Workspace &gt; Tags &gt; *` policies.&#92;n&#92;nIf the resource is not updated with the tags defined in `Azure &gt; Databricks &gt; Workspace &gt; Tags &gt; Template`, this control raises an alarm and takes the defined enforcement action.&#92;n&#92;nSee [Tags](https://turbot.com/guardrails/docs/concepts/guardrails/tagging) for more information.&#92;n

Azure > Databricks > Workspace > Tags > Template

Azure > Databricks > Workspace > Tags

databricks

databricksAka

test0001

databricksWorkspace

databricksWorkspaceAka

databricksWorkspaceId

invalid - cannot contain special characters

databricksWorkspaceName

databricksWorkspaceServiceNow

azure-databricks

A calculated policy that Guardrails uses to create a compiled list of ALL&#92;npermissions for Azure Databricks that is used as input to the control that manages&#92;nthe IAM stack.&#92;n

Azure > Turbot > Permissions > Compiled > Service Permissions

Azure > Subscription

Azure > Turbot > Permissions > Compiled > Service Permissions > @turbot/azure-databricks

A calculated policy that Guardrails uses to create a compiled list of ALL&#92;npermission levels for Azure Databricks that is used as input to the&#92;nstack that manages the Guardrails IAM permissions objects.&#92;n

Azure > Turbot > Permissions > Compiled > Levels

Azure > Turbot > Permissions > Compiled > Levels > @turbot/azure-databricks

A list of Azure regions in which Azure Databricks resources are allowed for use.&#92;n&#92;nThe expected format is an array of regions names. You may use the &#39;*&#39; and&#92;n&#39;?&#39; wildcard characters.&#92;n&#92;nThis policy is the default value for all Azure Databricks resources&#39; Allowed &gt; Regions policies.&#92;n

Azure > Databricks

Azure > Databricks > Allowed Regions [Default]

A list of Azure regions in which Azure Databricks resources are approved for use.&#92;n&#92;nThe expected format is an array of regions names. You may use the &#39;*&#39; and&#92;n&#39;?&#39; wildcard characters.&#92;n&#92;nThis policy is the default value for all Azure Databricks resources&#39; Approved &gt; Regions policies.&#92;n

Azure > Databricks > Approved Regions [Default]

The Event Grid event pattern used by the Azure Databricks module to specify&#92;nwhich events to forward to the Guardrails Event Handlers [Event Grid].&#92;n&#92;nThis policy automatically generates operation filters based on which&#92;nresource types have CMDB enabled. Only enabled resource types will&#92;nhave their events forwarded to Guardrails.&#92;n

Azure > Turbot > Event Handlers [Event Grid] > Custom Event Patterns

Azure > Turbot > Event Handlers [Event Grid] > Custom Event Patterns > @turbot/azure-databricks

Azure > Databricks > Permissions > Levels

Configure whether permissions policies are in effect for Azure Databricks&#92;nThis setting does not affect Subscription level permissions (Azure/Admin, Azure/Owner, etc)&#92;n

Azure > Databricks > Permissions

Azure > Databricks > Permissions > Levels > Modifiers

Define the permissions levels that can be used to grant access to Storage an&#92;nAzure Subscription.  Permissions levels defined will appear in the UI to assign&#92;naccess to Guardrails users.&#92;n

A map of Azure API to Guardrails Permission Level used to customize Guardrails&#39;&#92;nstandard permissions. You can add, remove or redefine the mapping of&#92;nAzure API operations to Guardrails permissions levels here.&#92;n&#92;n```&#92;nexample:&#92;n  - &quot;Microsoft.Databricks/Databricks/delete&quot;: operator&#92;n  - &quot;Microsoft.Databricks/Databricks/write&quot;: admin&#92;n  - &quot;Microsoft.Databricks/Databricks/read&quot;: readonly&#92;n```&#92;n

A list of Azure regions in which Azure Databricks resources are supported for use.&#92;n&#92;nThe expected format is an array of regions names. You may use the &#39;*&#39; and&#92;n&#39;?&#39; wildcard characters.&#92;n&#92;nThis policy is the default value for all Azure Databricks resources&#39; Regions policies.&#92;n

Azure > Databricks > Regions

A template used to generate the keys and values for Azure Databricks resources.&#92;n&#92;nBy default, all Databricks resource Tags &gt; Template policies will use this value.&#92;n

Azure > Databricks > Tags Template [Default]

Determine the action to take when an Azure Databricks workspace, based on the `Azure &gt; Databricks &gt; Workspace &gt; Active &gt; *` policies.&#92;n&#92;nThe control determines whether the resource is in active use, and if not,&#92;nhas the ability to delete / cleanup the resource. When running an automated&#92;ncompliance environment, it&#39;s common to end up with a wide range of alarms&#92;nthat are difficult and time consuming to clear. The Active control brings&#92;nautomated, well-defined control to this process.&#92;n&#92;nThe Active control checks the status of all defined Active policies for the&#92;nresource (`Azure &gt; Databricks &gt; Workspace &gt; Active &gt; *`), raises an alarm, and takes the defined enforcement&#92;naction. Each Active sub-policy can calculate a status of active, inactive&#92;nor skipped. Generally, if the resource appears to be Active for any reason&#92;nit will be considered Active.&#92;n&#92;n**Note:** In contrast with Approved, where if the&#92;nresource appears to be Unapproved for any reason it will be considered&#92;nUnapproved.&#92;n&#92;nSee [Active](https://turbot.com/guardrails/docs/concepts/guardrails/active) for more information.&#92;n

The age after which the Azure Databricks workspace&#92;nis no longer considered active. If a create time is unavailable, the time Guardrails discovered the resource is used.&#92;n&#92;nThe [Active](https://turbot.com/guardrails/docs/concepts/guardrails/active)&#92;ncontrol determines whether the resource is in active use, and if not, has&#92;nthe ability to delete / cleanup the resource. When running an automated&#92;ncompliance environment, it&#39;s common to end up with a wide range of alarms&#92;nthat are difficult and time consuming to clear. The Active control brings&#92;nautomated, well-defined control to this process.&#92;n&#92;nThe Active control checks the status of all defined Active policies for the&#92;nresource (`Azure &gt; Databricks &gt; Workspace &gt; Active &gt; *`),&#92;nraises an alarm, and takes the defined enforcement action. Each Active&#92;nsub-policy can calculate a status of active, inactive or skipped. Generally,&#92;nif the resource appears to be Active for any reason it will be considered Active.&#92;n&#92;n**Note** In contrast with Approved, where if the resource appears to be Unapproved&#92;nfor any reason it will be considered Unapproved.&#92;n&#92;nSee [Active](https://turbot.com/guardrails/docs/concepts/guardrails/active) for more information.&#92;n

The number of days since the Azure Databricks workspace was last modified before it is considered&#92;ninactive.&#92;n&#92;nThe [Active](https://turbot.com/guardrails/docs/concepts/guardrails/active)&#92;ncontrol determines whether the resource is in active use, and if not, has&#92;nthe ability to delete / cleanup the resource. When running an automated&#92;ncompliance environment, it&#39;s common to end up with a wide range of alarms&#92;nthat are difficult and time consuming to clear. The Active control brings&#92;nautomated, well-defined control to this process.&#92;n&#92;nThe Active control checks the status of all defined Active policies for the&#92;nresource (`Azure &gt; Databricks &gt; Workspace &gt; Active &gt; *`), raises an alarm, and takes the defined enforcement&#92;naction. Each Active sub-policy can calculate a status of active, inactive&#92;nor skipped. Generally, if the resource appears to be Active for any reason&#92;nit will be considered Active.&#92;n&#92;n**Note** In contrast with Approved, where if the&#92;nresource appears to be Unapproved for any reason it will be considered&#92;nUnapproved.&#92;n

This policy serves as a hierarchical parent for more specific Allowed policies, such as region-based policies and custom rule-based policies.&#92;n

Determine the action to take when an Azure Databricks workspace is not allowed based on custom rules.&#92;n&#92;nThe `Allowed &gt; Custom` control checks if the workspace is allowed based on the `Allowed &gt; Custom &gt; *` policies. If the workspace is not allowed, the control raises an alarm and takes the defined enforcement action.&#92;n&#92;nFor any enforcement actions that specify `if new`, e.g., `Enforce: Delete if not allowed and resource is new`, the control will only take the enforcement actions for resources created within the last 60 minutes.&#92;n

Determine whether the Azure Databricks workspace is allowed to exist based on custom rules.&#92;n&#92;nThis policy will be evaluated by the `Allowed &gt; Custom` control. If an Azure Databricks workspace is not allowed, it will be subject to the action specified in the `Allowed &gt; Custom` policy.&#92;n&#92;n**Note**: The policy value must be a string with a value of `Allowed`, `Not allowed` or `Skip`, or in the form of YAML objects. The object(s) must contain the key `result` with its value as `Allowed` or `Not allowed`. A custom title and message can also be added using the keys `title` and `message` respectively.&#92;n

string

Determine the action to take when an Azure Databricks workspace is created in a region that is not allowed.&#92;n&#92;nThe `Allowed &gt; Region` control checks if the workspace is created in an allowed region based on the `Allowed &gt; Region &gt; *` policies. If the workspace is created in a region that is not in the allowed list, the control raises an alarm and takes the defined enforcement action.&#92;n&#92;nFor any enforcement actions that specify `if new`, e.g., `Enforce: Delete if region not allowed and resource is new`, the control will only take the enforcement actions for resources created within the last 60 minutes.&#92;n

A list of Azure regions in which Azure Databricks workspaces are allowed for use.&#92;n&#92;nThe expected format is an array of regions names. You may use the &#39;*&#39; and &#39;?&#39; wildcard characters.&#92;n&#92;nThis policy will be evaluated by the `Allowed &gt; Region` control. If an Azure Databricks workspace is created in a region that is not in the allowed list, it will be subject to the action specified in the `Allowed &gt; Region` policy.&#92;n

Determine the action to take when an Azure Databricks workspace is not approved based on `Azure &gt; Databricks &gt; Workspace &gt; Approved &gt; *` policies.&#92;n&#92;nThe Approved control checks the status of the defined Approved sub-policies for the resource. If the resource is not approved according to any of these policies, this control raises an alarm and takes the defined enforcement action.&#92;n&#92;nFor any enforcement actions that specify `if new`, e.g., `Enforce: Delete unapproved if new`, this control will only take the enforcement actions for resources created within the last 60 minutes.&#92;n&#92;nSee [Approved](https://turbot.com/guardrails/docs/concepts/guardrails/approved) for more information.&#92;n

Determine whether the Azure Databricks workspace is allowed to exist.&#92;nThis policy will be evaluated by the Approved control. If an Azure Databricks workspace is not approved, it will be subject to the action specified in the `Azure &gt; Databricks &gt; Workspace &gt; Approved` policy.&#92;nSee [Approved](https://turbot.com/guardrails/docs/concepts/guardrails/approved) for more information.&#92;n&#92;n**Note**: The policy value must be a string with a value of `Approved`, `Not approved` or `Skip`, or in the form of YAML objects. The object(s) must contain the key `result` with its value as `Approved` or `Not approved`. A custom title and message can also be added using the keys `title` and `message` respectively.&#92;n

A list of Azure regions in which Azure Databricks workspaces are approved for use.&#92;n&#92;nThe expected format is an array of regions names. You may use the &#39;*&#39; and &#39;?&#39; wildcard characters.&#92;n&#92;nThis policy will be evaluated by the Approved control. If an Azure Databricks workspace is created in a region that is not in the approved list, it will be subject to the action specified in the `Azure &gt; Databricks &gt; Workspace &gt; Approved` policy.&#92;n&#92;nSee [Approved](https://turbot.com/guardrails/docs/concepts/guardrails/approved) for more information.&#92;n

Determine whether the Azure Databricks workspace is allowed to exist.&#92;n&#92;nThis policy will be evaluated by the Approved control. If an Azure Databricks workspace is not approved, it will be subject to the action specified in the `Azure &gt; Databricks &gt; Workspace &gt; Approved` policy.&#92;n&#92;nSee [Approved](https://turbot.com/guardrails/docs/concepts/guardrails/approved) for more information.&#92;n

Configure whether to record and synchronize details for the Azure Databricks workspace into the CMDB.&#92;n&#92;nThe [CMDB](https://turbot.com/guardrails/docs/concepts/guardrails/cmdb) control is responsible for populating and updating all the attributes for that resource type in the Guardrails CMDB.&#92;nAll policies and controls in Guardrails are based around the resource, so usually the CMDB policy is set to **&quot;Enforce: Enabled&quot;**.&#92;n&#92;nIf set to Skip then all changes to the CMDB are paused - no new resources will be discovered, no updates will be made and deleted resources will not be removed.&#92;n&#92;nTo cleanup resources and stop tracking changes, set this policy to **&quot;Enforce: Disabled&quot;**.&#92;n&#92;nCMDB controls also use the Regions policy associated with the resource. If region is not in `Azure &gt; Databricks &gt; Workspace &gt; Regions` policy, the CMDB control will delete the resource from the CMDB.&#92;n&#92;n(**Note**: Setting CMDB to **&quot;Skip&quot;** will also pause these changes.)&#92;n

A list of Azure regions in which Azure Databricks workspaces are supported for use.&#92;n&#92;nAny workspaces in a region not listed here will not be recorded in CMDB.&#92;n&#92;nThe expected format is an array of regions names. You may use the &#39;*&#39; and&#92;n&#39;?&#39; wildcard characters.&#92;n

Determine the action to take when an Azure Databricks workspace tags are not updated based on the `Azure &gt; Databricks &gt; Workspace &gt; Tags &gt; *` policies.&#92;n&#92;nThe control ensure Azure Databricks workspace tags include tags defined in `Azure &gt; Databricks &gt; Workspace &gt; Tags &gt; Template`.&#92;n&#92;nTags not defined in Workspace Tags Template will not be modified or deleted. Setting a tag value to `undefined` will result in the tag being deleted.&#92;n&#92;nSee [Tags](https://turbot.com/guardrails/docs/concepts/guardrails/tagging) for more information.&#92;n

The template is used to generate the keys and values for Azure Databricks workspace.&#92;n&#92;nTags not defined in Workspace Tags Template will not be modified or deleted. Setting a tag value to `undefined` will result in the tag being deleted.&#92;n&#92;nSee [Tags](https://turbot.com/guardrails/docs/concepts/guardrails/tagging) for more information.&#92;n

The Databricks service is a fast, easy, and collaborative Apache Spark-based analytics platform optimized for Microsoft Azure. It provides a unified analytics platform that allows users to prepare and cleanse data, build machine learning models, and perform advanced analytics at scale.&#92;n

Azure

Azure > Databricks > Workspace > ServiceNow

The Databricks Workspace resource type is an integrated environment that allows for the creation and management of notebooks, jobs, and data, enabling collaborative data analytics and machine learning tasks.&#92;n

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.01 - Ensure that Azure Databricks is deployed in a customer-managed virtual network (VNet)

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.02 - Ensure that network security groups are configured for Databricks subnets

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.03 - Ensure that traffic is encrypted between cluster worker nodes

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.04 - Ensure that users and groups are synced from Microsoft Entra ID to Azure Databricks

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.05 - Ensure that Unity Catalog is configured for Azure Databricks

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.06 - Ensure that usage is restricted and expiry is enforced for Databricks personal access tokens

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.07 - Ensure that diagnostic log delivery is configured for Azure Databricks

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.08 - Ensure that data at rest and in transit is encrypted in Azure Databricks using customer managed keys (CMK)

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.01 - Ensure that Azure Databricks is deployed in a customer-managed virtual network (VNet)

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.02 - Ensure that network security groups are configured for Databricks subnets

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.03 - Ensure that traffic is encrypted between cluster worker nodes

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.04 - Ensure that users and groups are synced from Microsoft Entra ID to Azure Databricks

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.05 - Ensure that Unity Catalog is configured for Azure Databricks

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.06 - Ensure that usage is restricted and expiry is enforced for Databricks personal access tokens

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.07 - Ensure that diagnostic log delivery is configured for Azure Databricks

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.08 - Ensure critical data in Azure Databricks is encrypted with customer-managed keys (CMK)

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.09 - Ensure &#39;No Public IP&#39; is set to &#39;Enabled&#39;

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.10 - Ensure &#39;Allow Public Network Access&#39; is set to &#39;Disabled&#39;

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.11 - Ensure private endpoints are used to access Azure Databricks workspaces

Azure > Databricks > Workspace > ServiceNow > Configuration Item

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.02 - Ensure that network security groups are configured for Databricks subnets > Attestation

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.03 - Ensure that traffic is encrypted between cluster worker nodes > Attestation

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.04 - Ensure that users and groups are synced from Microsoft Entra ID to Azure Databricks > Attestation

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.05 - Ensure that Unity Catalog is configured for Azure Databricks > Attestation

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.06 - Ensure that usage is restricted and expiry is enforced for Databricks personal access tokens > Attestation

Azure > CIS v4.0 > 03 - Analytics Services > 03.01 - Azure Databricks > 03.01.07 - Ensure that diagnostic log delivery is configured for Azure Databricks > Attestation

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.02 - Ensure that network security groups are configured for Databricks subnets > Attestation

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.03 - Ensure that traffic is encrypted between cluster worker nodes > Attestation

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.04 - Ensure that users and groups are synced from Microsoft Entra ID to Azure Databricks > Attestation

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.05 - Ensure that Unity Catalog is configured for Azure Databricks > Attestation

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.06 - Ensure that usage is restricted and expiry is enforced for Databricks personal access tokens > Attestation

Azure > CIS v5.0 > 2 - Analytics Services > 2.01 - Azure Databricks > 2.01.07 - Ensure that diagnostic log delivery is configured for Azure Databricks > Attestation

Mod: azure-databricks

Recommended Version

Resource Types

Controls

IAM Roles

Policies