---
sourceDocument: Australia Enable AI
sourceDocumentLink: https://www.servicenow.com/docs/r/australia/intelligent-experiences

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    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Configuring connectors

# Configuring connectors {#ariaid-title1}

Release version: Australia  
Updated August 5, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 2 minutes to read
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![AI sparkle icon](https://servicenow.com/docs/portal-asset/ai-sparkle-icon) Summarized using AI  
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## Summary of Configuring connectors

Configuring connectors in AI Control Tower enables ServiceNow customers to automatically discover and manage AI assets running on external platforms and hyperscaler environments.
This capability ensures that your AI asset inventory is continually updated without manual data entry, allowing consistent governance and comprehensive usage reporting across both imported and native AI assets.
Show full answer Show less  

## Key Features

* **Automated Asset Discovery and Import:** Connectors authenticate using credentials such as access keys, service accounts, or OAuth tokens to discover AI assets like models, agents, knowledge bases, and pipelines on external platforms.
* **Scheduled Import Jobs:** Regularly update your AI asset inventory and Configuration Management Database (CMDB) to reflect any new or modified assets on external platforms.
* **Usage Tracking:** Collect detailed usage data, including run counts by agent, date, and session, facilitating identification of high-usage, dormant, or high-risk assets for prioritized governance.
* **Centralized Oversight Across Multiple Accounts:** Discover assets from multiple accounts or environments using a single AI connection, scaling oversight efficiently without increasing workload.
* **Two Types of Connectors:**
  * *Discovery Connectors:* Directly query external platforms to discover AI assets and gather usage volume data, shown in asset value and engagement dashboards.
  * *Trace Connectors:* Monitor agent executions at runtime to generate evaluation and security metrics and discover assets indirectly, helpful for assets unreachable by discovery connectors.

## How It Works

When you create an AI connection using a supported connector, AI Control Tower performs authentication, discovers AI assets on the external platform, imports them into the AI asset inventory and CMDB, and keeps the data current through scheduled discovery and execution jobs. The discovery job finds new or changed assets, while the execution job collects usage data. Ensuring the AI discovery daily data collection job is active is critical for continuous data updates.

## Practical Benefits for ServiceNow Customers

* Maintain an up-to-date, comprehensive AI asset inventory that includes both native and external assets.
* Gain visibility into asset usage patterns to support risk management and governance prioritization.
* Scale AI governance efficiently across multiple external accounts and environments without added manual effort.
* Leverage detailed insights via the AI Control Tower dashboards to monitor asset value and engagement consistently.  
Discover AI assets running on external platforms and hyperscaler environments to populate your AI asset inventory, apply consistent governance, and report on usage in AI Control Tower.

## Key benefits {#aict-configuring-connectors__key-benefits}

* Keep asset records current automatically through scheduled import jobs, without manually re-entering details each time an asset changes on the external platform.
* Track usage volume for imported assets alongside natively created ones, so governance teams can spot high-usage, dormant, or high-risk assets and prioritize oversight.
* Discover assets across multiple accounts or environments with a single AI connection, so oversight scales with adoption without adding to your team's workload.

## Available connectors {#aict-configuring-connectors__section_bld_t1r_dkc}

For the complete list of supported service graph connectors, their prerequisites, and connector-specific configuration fields, see the [AI Control Tower- AI Discovery Connectors \[KB2986990\]](https://support.servicenow.com/kb?id=kb_article_view&sysparm_article=KB2986990) article in the Now Support Knowledge Base.

## How connectors discover AI assets {#aict-configuring-connectors__how-connectors-discover}

When you create an AI connection using a connector, AI Control Tower performs the following:

* Authenticates with the external platform using the credentials you provide, typically an access key, service account, or OAuth token depending on the platform.
* Discovers AI assets on the external platform, such as deployed models, agents, knowledge bases, and pipelines.
* Imports the discovered assets into the AI asset inventory and the Configuration Management Database (CMDB), where they can be governed, evaluated, and managed alongside natively created assets.
* Keeps the inventory updated by re-running discovery on a scheduled import job, so new or changed assets on the external platform are reflected in AI Control Tower.

## How connectors keep data current {#aict-configuring-connectors__keeping-data-current}

Each connector runs two scheduled jobs:

* Discovery: Finds new or changed AI assets on the external platform and imports them into the AI asset inventory.
* Execution: Collects usage data, such as run counts by agent, date, and session, for assets the connector has already discovered.

Note:  
Verify that the AI discovery daily data collection job is active. This job is required for connectors to continue collecting new data.

## Discovery connectors and trace connectors {#aict-configuring-connectors__connectors-vs-traces}

Discovery connectors and trace connectors both discover AI assets and feed the same AI asset inventory, but they serve different primary purposes.

* A discovery connector authenticates directly to the external platform and queries it for AI assets. It's the more direct path for platforms it supports, and it also collects usage volume, such as run counts by agent, date, and session, which appears in the asset's Value \& engagement tab and in the portfolio-wide value dashboard under Insights.
* A trace connector observes agent executions at runtime, primarily to generate evaluation and security metrics. Discovering the AI systems behind those executions is a secondary result, useful for catching assets a discovery connector can't reach. See [Discovering AI assets through trace connectors](https://www.servicenow.com/docs/a4jaXE8lsqV9jWLMWbT5uQ "Extend your AI asset inventory to AI agents running on hyperscaler cloud platforms by discovering them through trace connectors.").
{#aict-configuring-connectors__ul_qhb_r1r_dkc}
* **[Create an AI connection for discovery](https://www.servicenow.com/docs/ZvftPjltwlYDENP~_6BA7A)**   
  Bring AI assets from an external platform into your AI asset inventory by creating an AI connection. AI Control Tower authenticates to the platform using your credentials and imports assets on a schedule, so they're governed and monitored alongside AI systems built natively on ServiceNow.