Skip to content

AWS blog presents AtScale and Bedrock AgentCore semantic layer setup

What happened

AI digest

On 20 October 2026, the AWS Machine Learning Blog published a setup for building a semantic layer for agentic AI on AWS. It uses AtScale as the semantic layer and runs Strands agents on Amazon Bedrock AgentCore, forming the C360 setup. AtScale models with the YAML-based Semantic Modeling Language and exposes the same model simultaneously through SQL, XMLA and MCP. The setup remains a blog demonstration, with no actual deployment or customer use disclosed.

Written by AI from the reports · updated 1 h ago

Timeline

Follow the reports to see the event from each side.

Oct 20
  1. AWS Machine Learning Blog
    Build a semantic layer for agentic AI on AWS with AtScale and Amazon Bedrock AgentCore

    The third post in our semantic-layer series builds a governed customer 360 model on Amazon Redshift with AtScale, then exposes it to a Strands agent on Amazon Bedrock AgentCore through the AtScale MCP server. Identity propagation, RBAC, row security, and full query audit are enforced at the semantic layer, not the prompt.

Heat of this event

Not enough continuous observations yet to draw a trend.