{"id":"decd2ced-ff38-4d7b-a261-a6b70f6b441b","url":"https://api.tumn.com/news/decd2ced-ff38-4d7b-a261-a6b70f6b441b","title":"Build a semantic layer for agentic AI on AWS with AtScale and Amazon Bedrock AgentCore","summary":"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 enfo","sections":[],"faq":[],"sources":[{"url":"https://aws.amazon.com/blogs/machine-learning/build-a-semantic-layer-for-agentic-ai-on-aws-with-atscale-and-amazon-bedrock-agentcore/","title":"AWS Machine Learning Blog","publishedAt":"2026-10-20T15:33:54.000Z"}],"author":"TUMN 큐레이션","aiAssisted":false,"reviewStatus":"automated","reviewNote":"원문 제목과 공개된 발췌를 인용하고 원문으로 연결합니다. 내용을 재작성하거나 요약하지 않았습니다.","publishedAt":"2026-10-20T15:33:54.000Z","modifiedAt":"2026-10-20T22:25:36.000Z","checkedAt":"2026-10-20T22:25:36.490Z","language":"ko","kind":"link","sourceLabel":"AI 공식","profile":null,"via":null,"formats":{"json":"https://api.tumn.com/news/decd2ced-ff38-4d7b-a261-a6b70f6b441b.json","markdown":"https://api.tumn.com/news/decd2ced-ff38-4d7b-a261-a6b70f6b441b.md"}}