What an MCP gateway does (and what it can't fix)
An MCP gateway centralizes auth, call logging and rate limits for AI agents. It can't decide what a metric means. That lives in the semantic layer.
7 min read
#audit
6 articles
Which AI agents can reach your data? Building the agent and MCP permission inventory
No console lists every AI agent touching your data. An MCP permission inventory needs seven columns and a monthly and quarterly review.
9 min read
Data governance for ecommerce teams: the minimum that actually works
Data governance records who decides what about each dataset. For ecommerce, the useful minimum is five records: owner, definition, access, retention, change.
6 min read
What is data lineage, and how do you trace a marketing metric back to its source?
Data lineage maps a number from source to report. dbt's column-level lineage shows the columns, but not the filter that changed the result.
6 min read
How to log every query an AI agent makes through MCP
Write the agent audit log on the server that runs the query. MCP logging was deprecated in the 2026-07-28 spec and was never built for audit.
7 min read
AI data governance: what the policy has to cover once an agent reads customer data
AI data governance decides what a model may read, not just who may use it. Five questions cover it: scope, isolation, retention, audit trail, metrics.
8 min read