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# AI Service Graph Connector for Amazon release notes

# AI Service Graph Connector for Amazon release notes {#ariaid-title1}

Release version: Store  
Updated October 8, 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  
This content was generated using new OpenAI-powered functionality. Results are provided on an as is basis and are not guaranteed to be accurate or complete.  

## Summary of AI Service Graph Connector for Amazon release notes

The AI Service Graph Connector for Amazon is a ServiceNow application that enables automated discovery and inventory of AI assets across Amazon Web Services (AWS) environments.
It integrates AI Control Tower's AI Discovery capabilities with AWS services such as Amazon Bedrock, Bedrock Agentcore, and SageMaker.
This integration helps ServiceNow customers manage AI workflows, models, prompts, and related tools within their enterprise cloud infrastructure.
Show full answer Show less  

## Key Features

* **Enterprise-wide AI Asset Discovery:** Supports tenant-wide discovery to scan multiple AWS accounts simultaneously, eliminating the need for resource-by-resource configuration.
* **Unified Configuration:** Admins can configure all AWS AI discovery services through a single credential page, creating a single connection alias reused across Bedrock, SageMaker, and AgentCore services.
* **Enhanced Security:** Certificate-based authentication reduces reliance on client secrets and access keys, aligning with enterprise security policies.
* **Automated Credential Management:** Supports automatic rotation of AWS IAM access keys for AI service connections, improving security and simplifying credential management.
* **Expanded Asset Discovery:** Added capability to discover assets from Amazon QuickSight including tags and additional attributes.
* **Multi-Account Support:** Allows discovery across multiple explicit AWS account IDs by specifying them as a comma-separated list, with logging for accounts lacking required roles.
* **Improved User Interface:** Enhanced connection form UI with clearer field hints, activity descriptions, and consistent service naming for easier administration.

## Key Outcomes

* ServiceNow customers gain comprehensive visibility into AI assets across their AWS environments, aiding governance and compliance.
* Streamlined configuration and credential management reduce operational overhead and improve security posture.
* Unified discovery results facilitate efficient AI inventory management within the AI Control Tower, enabling AI stewards and product owners to effectively review and govern AI artifacts.
* Support for discovery of additional AWS AI services and QuickSight assets extends the range of AI-related resources under management.  
Version history for the ServiceNow® AI Service Graph Connector for Amazon application on the ServiceNow Store.
Important:  
For details on system requirements and family compatibility, view the application listing on the [ServiceNow Store](https://store.servicenow.com/sn_appstore_store.do#!/store/home) website.

Version 2.2.5 - October 2026
:   New: Integration to support discovery of assets from Amazon Quicksuitediscovery of tags and additonal attributes.

Version 2.1.9 - September 2026
:
    * New:
      * Certificate-based authentication support to reduce reliance on client secrets and access keys, especially for enterprise customers with stricter security requirements.
      * Tenant-wide discovery support for discovering AI assets across an entire enterprise environment rather than requiring resource-by-resource configuration.
      {#store-platcap-rn-ai-sgc-amazon__ul_pzk_5gx_lkc}
    {#store-platcap-rn-ai-sgc-amazon__ul_tg5_tgx_lkc}

Version 2.1.2 - August 2026
:
    * New:
      * Admins can now configure all AWS AI discovery services using a single credential page. The playbook presents one unified configuration page for Bedrock, SageMaker, and AgentCore, creating a single connection alias reused across all services. Discovery runs successfully for all services using the shared connection, and existing separate configurations remain supported. A new connection alias and template are created, acting as the parent for all connection aliases.
      * Admins can enable automatic rotation of AWS access keys for AI SGC connections. When enabled, a scheduled job periodically rotates IAM access keys for Bedrock, SageMaker, AgentCore, and CloudWatch connections, updating credentials and tracking rotation status per connection.
      * Admins can discover multiple explicit AWS accounts by specifying a comma-separated list of account IDs. The connection property now supports multiple account IDs, allowing discovery across all listed accounts without using Organizations ListAccounts. Each account is discovered individually, and accounts missing the required role are skipped and logged.
      {#store-platcap-rn-ai-sgc-amazon__ul_yhg_2rw_bkc}
    * Changed:
      * The playbook connection form UI has been improved. Field hints and activity descriptions are updated for clarity, and service names are revised for consistency. The scheduled imports page now covers all connections.
      * The connection property for standalone AWS account discovery has been renamed. The property is now called "Target Account IDs" and supports comma-separated values. Existing connections using the legacy property remain compatible and display the value in the updated form.
      * The script execution step is moved to setup instructions KB in Review step of playbook. The script download is available through the setup instructions KB in prerequisites section and its execution process.
      {#store-platcap-rn-ai-sgc-amazon__ul_q2s_2rw_bkc}

Version 1.2.1 - June 2026
:   New: Tenant Wide Discovery support

Version 1.0.6 - April 2026
:
    * Integration with Amazon which would allow discovery and inventory of Workflows with AI Agents,related models, prompts, and toolinformation across Amazon Bedrock, Amazon Bedrock Agentcore, Amazon Sagemaker.
    * The AI Control Tower (AICT) imports the discovered artifacts into its AI inventory, where the AI steward and Product Owner can access and review them.

Version 1.0.4 - March 2026
:   This integration connects AI Control Tower's AI Discovery capabilities with Amazon Bedrock, Amazon Bedrock Agentcore, Amazon Sagemaker, enabling automated discovery and governance of AI assets across enterprise Amazon
    environment

