Data Lineage
Trace any sensitive record to its origin, every copy, and every pipeline it feeds.
The problem
When a sensitive file surfaces somewhere it should not be, the first question is never just what is it. It is where did this come from, what else was made from it, and what breaks if we delete it. Without lineage, every incident is archaeology.
How it works
What it covers
- Content fingerprinting resilient to renames and partial edits
- Structural similarity for tabular data
- Event-stream correlation across connectors
- Warehouse query-log parsing for table-level lineage
- Origin and full copy map for any sensitive finding
- Impact analysis before deletion, migration, or access revocation
- Breach blast-radius reports with affected downstream copies
- Lineage context attached to every DLP incident automatically
- Traces which source documents fed a vector store or fine-tune
- Maps RAG retrieval paths back to original records
- Shows which AI outputs derived from regulated inputs
Common questions
Does lineage work retroactively?
Partially. From the moment an environment connects, all movement is tracked. Historical copies are linked by fingerprint matching during initial discovery scans.
How is this different from a data catalog's lineage?
Catalog lineage usually stops at pipeline metadata. PrismSek follows the content itself, including the copy someone downloaded and re-uploaded to a personal drive.
Can we use lineage for deletion requests?
Yes. Subject-request workflows use the copy map to find every instance of a person's data, including derived exports.
Solutions this powers
See Data Lineage on your data.
Connect one environment in a guided session and review real findings with a security engineer.