---
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

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workflow :

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---

# 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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## Summary of Configuring connectors

Configuring connectors in AI Control Tower allows ServiceNow customers to automatically discover and import AI assets from external platforms and hyperscaler environments into their AI asset inventory.
This capability ensures that asset records remain current without manual updates, enabling 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 with external platforms using credentials like access keys or OAuth tokens to discover AI assets such as models, agents, knowledge bases, and pipelines.
* **Scheduled updates:** Connectors run scheduled import jobs that continuously refresh asset data, reflecting any changes or new assets on external platforms.
* **Usage tracking:** Connectors collect usage metrics such as run counts by agent, date, and session, enabling governance teams to identify high-usage, dormant, or high-risk assets.
* **Scalable oversight:** A single AI connection can discover assets across multiple accounts or environments, reducing manual workload as AI adoption grows.
* **Two types of connectors:**
  * **Discovery connectors:** Directly query external platforms for AI assets and usage data, feeding the AI asset inventory and usage dashboards.
  * **Trace connectors:** Monitor agent executions at runtime to generate evaluation and security metrics and discover assets unreachable by discovery connectors.

## Practical Use and Configuration

To bring AI assets into your ServiceNow environment, create an AI connection by providing appropriate authentication credentials for the external platform. Once configured, AI Control Tower performs scheduled discovery and usage data collection jobs to keep the asset inventory and usage insights up to date.

Ensure that the AI discovery daily data collection job is active, as it is essential for connectors to continue gathering new data.

For a complete list of supported connectors, prerequisites, and platform-specific configuration details, customers should consult the AI Control Tower - AI Discovery Connectors knowledge base article.

## Benefits for ServiceNow Customers

* Maintain an accurate, up-to-date inventory of AI assets across diverse platforms within a single governance framework.
* Gain visibility into AI asset usage and risk, facilitating prioritized oversight and informed decision-making.
* Scale AI governance efficiently as adoption grows, without increasing manual effort.  
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.