Create AI connection for Amazon
Create an AI connection for Amazon in AI Control Tower using the AI Service Graph Connector for Amazon.
Before you begin
Role required: sn_ai_disc.discovery_admin and n_cmdb_int_util.sgc_admin
Procedure
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Navigate to AI Control Tower > Configurations > AI connections.
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Select Add.
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Select AWS from all the available connectors.
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Click Create connection.
Note: The Review the setup instructions page appears and verifies to follow all the prerequisites.
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Click Continue.
Setup page appears.
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Select Source systems.
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Choose the AWS services that you want to integrate with ServiceNow.
- Amazon Bedrock
- Amazon Bedrock AgentCore
- Amazon SageMaker
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Click Submit.
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Configure Bedrock
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Enter the Connection Name.
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Enter the Access Key ID.
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Enter the Secret Access Key.
Access keys are long-term credentials for an IAM user or the AWS account root user. Access keys consist of two parts: an access key ID and a secret access key. For detailed information, see how to get access and secret key
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Enter the AWS Region.
Note: The region information is available in the navigation bar of the AWS management console.
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Click Update and test connection.
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Click Continue.
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Configure Bedrock import schedule
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Open a parent schedule import.
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Select the Active check box.
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Select Run according to your preference.
Note: This is an optional step as the schedule imports run according to the schedule.
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Configure CloudWatch logs forBedrock
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Enter the Connection Name.
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Enter the Access Key.
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Enter the Secret Key.
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Enter the AWS Region.
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Enter the Log Group Names.
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Click Create and test connection.
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Click Continue.
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Configure CloudWatch logs import schedule for Bedrock
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Open a parent schedule import.
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Select the Active check box.
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Select Execute Now.
Note: This is an optional step as the schedule imports run according to the schedule.
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Click Continue.
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Configure SageMaker
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Enter the Connection Name.
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Enter the Access Key ID.
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Enter the Secret Access Key.
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Enter the AWS Region.
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Click Create and test connection.
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Click Continue.
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Configure SageMaker import schedule
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Open a parent schedule import.
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Select the Active check box.
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Select Run according to your preference.
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Select Execute Now.
Note: This is an optional step as the schedule imports run according to the schedule.
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Click Continue.
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Configure CloudWatch monitoring for SageMaker
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Enter the Connection Name.
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Enter the Access Key.
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Enter the Secret Key.
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Enter the AWS Region.
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Click Create and test connection.
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Click Continue.
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Configure CloudWatch monitoring import schedules for SageMake
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Open a parent schedule import.
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Select Active check box.
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Select Run according to your preference.
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Select Execute Now.
Note: This is an optional step as the schedule imports run according to the schedule.
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Click Continue.
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Result
AI connection is created for AWS.
---
title: Create AI connection for Amazon
description: Create an AI connection for Amazon in AI Control Tower using the AI Service Graph Connector for Amazon.
locale: en-US
canonical_url: https://www.servicenow.com/docs/r/intelligent-experiences/ai-control-tower/create-ai-connection-for-amazon.html
release: brazil
product: AI Control Tower
classification: ai-control-tower
topic_type: task
last_updated: "2026-09-10"
reading_time_minutes: 2
breadcrumb: [AWS, Service Graph Connectors for AI Control Tower, Enterprise AI discovery: Unlock Visibility, Governance & Value, Exploring AI Control Tower \(legacy\), AI Control Tower \(legacy\), Establishing AI governance, Enable AI Experiences]
---
# Create AI connection for Amazon
Create an AI connection for Amazon in AI Control Tower using the AI Service Graph Connector for Amazon.
## Before you begin
Role required: sn\_ai\_disc.discovery\_admin and n\_cmdb\_int\_util.sgc\_admin
## Procedure
1. Navigate to **AI Control Tower** > **Configurations** > **AI connections**.
2. Select **Add**.
3. Select **AWS** from all the available connectors.
4. Click **Create connection**.
**Note:** The Review the setup instructions page appears and verifies to follow all the prerequisites.
5. Click **Continue**.
Setup page appears.
6. Select Source systems.
7. Choose the AWS services that you want to integrate with ServiceNow.
- Amazon Bedrock
- Amazon Bedrock AgentCore
- Amazon SageMaker
8. Click **Submit**.
9. **Configure Bedrock**
1. Enter the **Connection Name**.
2. Enter the **Access Key ID**.
3. Enter the **Secret Access Key**.
Access keys are long-term credentials for an IAM user or the AWS account root user. Access keys consist of two parts: an access key ID and a secret access key. For detailed information, see [how to get access and secret key](https://docs.aws.amazon.com/IAM/latest/UserGuide/id_credentials_access-keys.html)
4. Enter the **AWS Region**.
**Note:** The region information is available in the navigation bar of the AWS management console.
5. Click **Update and test connection**.
6. Click **Continue**.
10. **Configure Bedrock import schedule**
1. Open a parent schedule import.
2. Select the Active check box.
3. Select Run according to your preference.
**Note:** This is an optional step as the schedule imports run according to the schedule.
11. **Configure CloudWatch logs forBedrock**
1. Enter the **Connection Name**.
2. Enter the **Access Key**.
3. Enter the **Secret Key**.
4. Enter the **AWS Region**.
5. Enter the **Log Group Names**.
6. Click **Create and test connection**.
7. Click **Continue**.
12. **Configure CloudWatch logs import schedule for Bedrock**
1. Open a parent schedule import.
2. Select the Active check box.
3. Select **Execute Now**.
**Note:** This is an optional step as the schedule imports run according to the schedule.
4. Click **Continue**.
13. **Configure SageMaker**
1. Enter the **Connection Name**.
2. Enter the **Access Key ID**.
3. Enter the **Secret Access Key**.
4. Enter the **AWS Region**.
5. Click **Create and test connection**.
6. Click **Continue**.
14. **Configure SageMaker import schedule**
1. Open a parent schedule import.
2. Select the Active check box.
3. Select Run according to your preference.
4. Select Execute Now.
**Note:** This is an optional step as the schedule imports run according to the schedule.
5. Click **Continue**.
15. **Configure CloudWatch monitoring for SageMaker**
1. Enter the **Connection Name**.
2. Enter the **Access Key**.
3. Enter the **Secret Key**.
4. Enter the **AWS Region**.
5. Click **Create and test connection**.
6. Click **Continue**.
16. **Configure CloudWatch monitoring import schedules for SageMake**
1. Open a parent schedule import.
2. Select Active check box.
3. Select Run according to your preference.
4. Select Execute Now.
**Note:** This is an optional step as the schedule imports run according to the schedule.
5. Click **Continue**.
## Result
AI connection is created for AWS.
| title | Create AI connection for Amazon |
| description | Create an AI connection for Amazon in AI Control Tower using the AI Service Graph Connector for Amazon. |
| locale | en-US |
| canonical_url | https://www.servicenow.com/docs/r/intelligent-experiences/ai-control-tower/create-ai-connection-for-amazon.html |
| release | brazil |
| product | AI Control Tower |
| classification | ai-control-tower |
| topic_type | task |
| last_updated | 2026-09-10 |
| reading_time_minutes | 2 |
| breadcrumb | AWSService Graph Connectors for AI Control Tower{"Enterprise AI discovery":"Unlock Visibility"}Governance & ValueExploring AI Control Tower \(legacy\)AI Control Tower \(legacy\)Establishing AI governanceEnable AI Experiences |