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empire_labs

There's a lot of talk about "agent-ready data governance" right now, and the mechanics are well covered on this board: service principals per agent, Unity Catalog grants, AI Gateway guardrails, MCP tools as securables. The layer that sits on top of a...

empire_labs

I agree with Lu, this is a solid enterprise baseline and the two replies above cover the design mechanics well. One thing worth adding from running this pattern at scale is the evidence layer: a single Terraform SP with ownership transfer is clean to...

empire_labs

Great thread and iyashk-DB's breakdown is solid on the mechanics. One thing worth adding from running this in production at enterprise scale, the piece most teams miss (myself included, first time round) is the evidence layer, agent-ready governance ...

empire_labs

Hi Cobs, I hit the same wall building on the Genie API. The key is that content in the message object is the user's message, not Genie's answer. The actual response lives in the attachments array, and there are several attachment types:- attachments[...

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From Agent-ready to Audit-ready: The Evidence Layer of AI Governance

Re: Enterprise Unity Catalog RBAC model in Databricks

Re: What does "Agent-Ready Data Governance" actually mean in production?

Re: How do I query genie space's actual conversation messages? (Genie space API)