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# Governance on Autopilot: Automate Data Governance with Lineage

**[Google Cloud](https://daily.dev/sources/gcp)** · 11 min read · 0 upvotes · 0 comments

## Summary

Google Cloud describes an open-source Governance Agent project that uses column-level lineage in BigQuery and Knowledge Catalog to automatically propagate descriptions, business glossary terms, PII policy tags, and trust/data quality scores from upstream tables to downstream views. When lineage is incomplete, the agent can ground its suggestions in user-supplied documents or trigger an AI-driven Knowledge Catalog Data Documentation scan to infer relationships. All propagations pass through a confidence threshold and a human preview step before being applied, and the tool ships with both a dashboard and a CLI. A VodafoneThree UK Datahub customer testimonial estimates the approach could cut cataloguing effort by up to 75%.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://cloud.google.com/blog/products/data-analytics/governance-on-autopilot-automate-data-governance-with-lineage>

## Questions this post answers

### How can I automatically propagate PII tags to downstream BigQuery tables using lineage?

An open-source Governance Agent project traces column-level lineage from an upstream PII-tagged column and recommends the same tag downstream, along with a summary of current read access and masking rules. It also checks whether the transformation is a straight pull versus an aggregation or anonymization, so it avoids stamping PII tags on data that no longer carries that risk.

_Developers wiring up automated governance pipelines can follow ongoing lineage tooling coverage on daily.dev._

### How does an AI governance agent avoid hallucinating PII classifications when no lineage exists for a table?

When lineage is missing, the agent only marks a column as PII if a supplied document explicitly states it, such as a 'PII: Y' flag or a named sensitivity section, and refuses to infer sensitivity from column names alone. If a column isn't clearly defined in the provided document, the agent is instructed to say so and stop rather than guess.

_Teams weighing AI-assisted data classification tools can track trustworthy automation patterns on daily.dev._

### What reduction in cataloguing effort can automated metadata propagation achieve for a large undocumented data estate?

VodafoneThree UK Datahub estimated that combining cataloguing, lineage, and automated metadata propagation through the Data Steward Agent could reduce cataloguing effort by up to 75%, while improving data discoverability, trust, and AI readiness across their platform, by letting governance effort concentrate on source datasets and scaling via lineage.

_Anyone evaluating governance automation ROI can follow real-world adoption stories via daily.dev._

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---

Tags: [#gcp](https://daily.dev/tags/gcp), [#big-data](https://daily.dev/tags/big-data), [#data-engineering](https://daily.dev/tags/data-engineering), [#google-bigquery](https://daily.dev/tags/google-bigquery)

[View this post on daily.dev](https://daily.dev/posts/governance-on-autopilot-automate-data-governance-with-lineage-qzovmogzz)

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