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Use case

Compliance evidence that maintains itself

Continuous, column-level lineage and PII classification that turn BCBS 239, DORA, GDPR, and EU AI Act evidence into a by-product of normal operation.

The situation

BCBS 239 expects demonstrable risk-data aggregation and lineage. DORA expects you to know your ICT dependencies. GDPR expects you to know where personal data lives and flows. The EU AI Act expects governed data behind AI. Each audit season, teams rebuild that evidence by hand — and it is stale before it is submitted.

What Semantic Scout does about it

Lineage with change history

Column-level evidence of where every figure in a report comes from, generated continuously rather than assembled in the weeks before an audit.

Automated PII classification

Personal data classified and linked to glossary terms automatically, so GDPR mapping falls out of normal operation instead of becoming its own project.

Views auditors can read

Business lineage that a risk officer or auditor follows without an engineer in the room, backed by the technical lineage underneath when they want to drill in.

Drift detection

Alerts when a flow, an owner, or a classification moves away from policy — before it reaches a report.

Proof

A Nordic bank licenses Semantic Scout for business lineage across mainframe and modern platforms.

PII classification and linking assets with terms is now a breeze, we feel much more confident in our compliance efforts.
Data Governance Lead · Telecom

Customer names are withheld by agreement. Roles and industries are accurate.

Bring your hardest audit question

The useful demo is the one where you ask where a specific number came from, and we show you the path.