This integration connects AI Control Tower’s AI Discovery capabilities with Amazon Bedrock, Amazon Bedrock Agentcore, Amazon Sagemaker, Amazon Quicksuite enabling automated discovery and governance of AI assets across enterprise Amazon environment
- Integration with Amazon which would allow discovery and inventory of Workflows with AI Agents, related models, prompts, and tool information across Amazon Bedrock, Amazon Bedrock Agentcore, Amazon Sagemaker, Amazon Quicksuite.
- 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.
- The organization-wide Bedrock CloudTrail trail, with its CloudWatch Log Group and S3 bucket, can now be hosted in a designated member account along with management account. The setup script also supports this.
- Certificate-based (AWS IAM Roles Anywhere) connections now support MID Server, Roles Anywhere setup in, Management account ID and CloudTrail created in.
- The MID Server selected on an AWS connection is now used for all of the connector's AWS calls, including STS, Organizations and the Bedrock, SageMaker, AgentCore and Amazon Quick discovery calls. Previously, customers had to edit the REST step of each Flow action by hand to route through a MID Server. Existing connections are updated automatically during the upgrade.
Discovery is for all customers including AI Native SKU.
Packaging Structure: Customers can install the AI Control Tower SKU, which auto-installs the Marker plugin for Service Graph Connector(sn_ai_sgc_disc) which in turn will Install Amazon SGC app
Installing Amazon SGC will Install SGC Central and AI Discovery.
Users will see the AI Connections tab in AICT only if the plugins com.sn_ai_disc and sn_sgc_central are installed.
AI Discovery plugin has below direct dependencies-
com.glide.hub.action_type.datastream
com.sn_ai_governance is this fine