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

 Release :

    - australia

ft:locale :

    - en-US

ft:publication_title :

    - Australia Enable AI

ft:clusterId :

    - platai

bundleId :

    - platai

workflow :

    - Platform


---

# Add a GCP Cloud Trace connection

# Add a GCP Cloud Trace connection {#ariaid-title1}

Release version: Australia  
Updated June 30, 2026  
![](https://www.servicenow.com/docs/portal-asset/ico-clock) 1 minute to read  
Monitor AI agents running on Google Cloud by adding a GCP Cloud Trace connection. AI Control Tower collects trace data through your Google Cloud credentials and
a MID Server, without requiring SDK instrumentation.

## Before you begin

Confirm the following:

* An active MID Server is installed and configured in your ServiceNow instance. See [MID Server installation](https://www.servicenow.com/docs/r/servicenow-platform/mid-server/mid-server-installation.html).
* A Google Cloud OAuth 2.0 credential with permission to read trace data is available.
  * You must set up the GCP service account and grant the required IAM permissions in Google Cloud. After configuring the service account, work with your instance administrator to generate a certificate and create the OAuth 2.0 credentials and alias in your instance. For details, see the [Configuring GCP Permissions and Credentials for ServiceNow AI Control Tower Trace Ingestion \[KB3144347\]](https://support.servicenow.com/kb?id=kb_article_view&sysparm_article=KB3144347) article in Now Support.

Role required: sn_ai_governance.ai_steward

## Procedure

1. Navigate to AllAI Control TowerHomeSettingsIntegrationsTraces.
2. On the Available sub-tab, select GCP Cloud Trace.
3. On the form, fill in the fields.  
   {#aict-configure-gcp-cloud-trace__table-gcp-fields__entry__2}

   | Field | Description |
   |-|-|
   | Name | Descriptive name for this trace connection. Use a name that distinguishes this connection from others you create, such as one that identifies the account, project, or environment. |
   | Collection frequency (minutes) | Interval, in minutes, at which the MID Server polls for new trace data. The default is 30. Set a lower value to return results sooner or set a higher value to reduce overhead for lower-volume systems. |
   | Credential | Google Cloud OAuth 2.0 credential that authenticates AI Control Tower to GCP Cloud Trace. The credential must have permission to read trace data. |
   | MID server | MID Server that runs trace collection. The MID Server must be active and validated. Select Go to Mid server installation to install or configure one. |
   | Active | Option to begin collecting traces when you save the connection. Clear it to save the connection without starting collection. You can activate the connection later from its record. |
   [Table 1. Add GCP Cloud Trace form]

   {#aict-configure-gcp-cloud-trace__table-gcp-fields}
4. Select Save.

## Result

The trace connection appears on the Established sub-tab. If the
connection is active, AI Control Tower begins collecting trace data after
the first polling interval.

## What to do next

Choose which metrics to include in evaluation scoring. See [Activate evaluation scoring for external AI systems](https://www.servicenow.com/docs/DJwf5i7uHymbQr5MjNM7DA "Assess the quality and safety of your external AI systems by connecting them to AI Control Tower and activating evaluation scoring.").

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