What is the most reliable way to audit sensitive PII data fields across our data lakehouse to satisfy the new compliance requirements rolling out this quarter?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the most reliable way to audit sensitive PII data fields across our data lakehouse to satisfy the new compliance requirements rolling out this quarter?
3 real searches · 1 real-search pass
2026 data lakehouse PII discovery classification lineage audit compliance best practices NIST privacy framework data governanceGoogle ↗
OBSERVED
Databricks Unity Catalog sensitive data classification lineage audit logs official documentation 2026Google ↗
OBSERVED
NIST Privacy Framework data inventory data processing mapping officialGoogle ↗
OBSERVED
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 3 queries…
Searches and sources
ChatGPT3 real searches · gpt-6
2026 data lakehouse PII discovery classification lineage audit compliance best practices NIST privacy framework data governance Google ↗
Databricks Unity Catalog sensitive data classification lineage audit logs official documentation 2026 Google ↗
NIST Privacy Framework data inventory data processing mapping official Google ↗
- Data Classification · docs.databricks.com
- Lineage in Unity Catalog · docs.databricks.com
- ABAC row filtering and column masking policies, governed tags, and data classification are now generally available in Unity Catalog · databricks.com
- SP 1800-39, Data Classification Practices · csrc.nist.gov
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 data lakehouse PII discovery classification lineage audit compliance best practices NIST privacy framework data governance OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
Databricks Unity Catalog sensitive data classification lineage audit logs official documentation 2026 OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
NIST Privacy Framework data inventory data processing mapping official OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |