Your business knows what good data looks like. Who keeps it in check?

Most leading data quality platforms have added a way for an AI agent to scan a table and generate rules. Fewer have solved the harder problem underneath that: making sure the rules have business value. An inferred rule that is statistically valid but disconnected from what the business actually needs is just noise with a score number. Collibra’s Data Quality (DQ) tools for MCP are built to close that gap: monitoring generated from governed context, not from a guess. What's new: Data Quality…