AI Service Graph Connector for Databricks

The AI Service Graph Connector for Databricks enables you to discover and import AI assets from your Databricks environment into ServiceNow AI Control Tower.

The connector integrates with your Databricks account to catalog AI systems, agents, models, and prompts. Usage data is automatically collected and populated into the AI Control Tower value dashboard, providing comprehensive visibility and governance of your AI operations.

Download apps from the Store

Visit the ServiceNow store website to download the AI Service Graph Connector for Databricks application.

Supported ServiceNow versions

This connector is supported on the following ServiceNow releases:

Release	Status
Australia	Supported
Zurich	Supported

User Roles

You must have one of the following roles assigned.

Required Roles
sn_ai_disc.discovery_admin
sn_cmdb_int_util.sgc_admin

ServiceNow Prerequisites

Complete the following setup steps once when configuring the connector for the first time.

Note:

Updating data source access and clear cache is a prerequisite that needs to be completed only once, when setting up a new instance for the first time.

Update Data Source Access

The connector requires write permissions to the Data Source table to create data sources.

To enable data source creation:

1. Select Global from the application picker.
2. Navigate to Application Access.
3. Select the Can create, Can update, and Can delete check boxes.
4. Select Update.
5. Switch to the connector application scope.

Clear cache

Clear the cached data for the Data Source and Tables.

To clear the cache:

1. Navigate to System Definition > Background Scripts.
2. Enter the following script in the Run Script text box:

   GlideTableManager.invalidateTable('sys_data_source');
   GlideCacheManager.flushTable('sys_data_source');
   GlideTableManager.invalidateTable('sys_db_object');
   GlideCacheManager.flushTable('sys_db_object');
   

3. Select Run Script.
   Note:

   The script might take several minutes to complete. After completion, switch to the connector application scope.
4. After completion, switch to the connector application scope.

Databricks Prerequisites

The Al Service Graph Connector for Databricks automatically imports data from your Databricks into the ServiceNow CMDB. This playbook will guide you through configuring the connection and credentials.

Before proceeding, verify you have:

Databricks Workspace: An active workspace (Azure, AWS, or GCP) with administrative access to the resources you intend to sync.

Authentication Method: A valid OAuth credentials with sufficient scopes to read workspace metadata.

Required Permissions

These permissions are managed via the Databricks Admin console or Account console under the User Management or Service Principal sections:

Service Principal / User Access: The identity used for the connection must have the Admin or Workspace Access entitlement.

Resource-Specific Permissions

Compute/Clusters: Can View permissions for all clusters to be imported.

Unity Catalog: USE CATALOG and USE SCHEMA permissions if importing data lineage or metadata from the Unity Catalog.

SQL Warehouses: Can Use permissions if tracking SQL endpoint utilization.

For information on Databricks resources to generate credentials and configure workspace access, see Databricks- Configure OAuth for Service Principals and https://docs.databricks.com/aws/en/admin/users-groups

Data Mapping

Agents: alm_ai_system_digital_asset -> Model table (cmdb_ai_system_component_product_model)

Required Fields	ServiceNow (Target)	Databricks (Staging)
Model ID	Model	ai_system_product_model
Agent ID	Product instance identifier	agent_id
Version	External record reference	u_id
Status	State (install_status)	install_status
Quantity	Quantity	quantity
Vendor	Vendor	vendor_ref
Company	Company	cleansed_manufacturer_ref
	AI Models	ai_models
Source System	Source System	vendor_name
Asset Type	Model Category	asset_type

Models: AI Model Digital Asset (alm_ai_model_digital_asset):

Required Fields	ServiceNow (Target)	Databricks (Model Staging)
	Model Category	asset_type
	External record reference	u_id
Model Id	Model	ai_product_model
	State	install_status
Provider	Company	cleanse_manufacturer_ref
Vendor	Vendor	vendor_ref
	Source System	vendor_name
	Quantity	quantity

Tools: AI Tool (sn_ent_ai_tool)

Required Fields	ServiceNow	Databricks
Name	Name	Tool Name
	Type	Tool Type
Description	Description	Tool Description
Source Information	Source Information	Vendor Name

AI Agents Usage: sn_ai_disc_ai_usage -> AI system/Model table (alm_ai_system_digital_asset)

Required Fields	ServiceNow (Target)	Databricks (Staging)
User	User	User ID
Time	Time	Timestamp
Parent ID	Session ID	Session ID
Total Invocations	Count	Invocation count
AI system	AI system	Agent ID
	Type	Type