AWS Config now supports 9 new resource types
Amazon Web Services has expanded its Config service to support nine additional resource types across Amazon Bedrock, Amazon Bedrock AgentCore, and Amazon SageMaker services. The update enables AWS Config to automatically discover, assess, audit, and remediate a broader range of cloud resources for organizations using these AI and machine learning platforms. The newly supported resource types include Bedrock FlowAlias, various BedrockAgentCore components like Evaluator and RuntimeEndpoint, and SageMaker resources such as Cluster, Endpoint, ModelPackageGroup, and Pipeline. Customers who have enabled recording for all resource types will automatically gain visibility into these new resources without additional configuration. The expanded coverage integrates with existing AWS Config functionality, including Config rules for compliance monitoring and Config aggregators for multi-account resource management. The enhancement is available across all AWS regions where the underlying services operate, providing consistent configuration management capabilities for enterprises deploying AI and ML workloads at scale.
Why It Matters
This expansion addresses a critical gap in cloud governance for AI/ML infrastructure. As organizations increasingly deploy Amazon Bedrock for generative AI and SageMaker for machine learning workloads, having comprehensive configuration tracking becomes essential for security compliance, cost optimization, and operational visibility. The automatic integration with existing Config rules means enterprises can now apply their established governance policies to these newer AI services without manual intervention.
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