A regulator asks: show me the complete data trail behind this AI decision. Data Lineage traces every data point from source through federation, governance, and agent consumption to the final outcome — unbroken.
Without governed data lineage, these problems compound silently with every new data source and AI deployment.
Each tool tracks its domain. The end-to-end journey from external bureau through federation into the agent that consumed it is invisible.
Movement tracked but governance events not recorded — quality checks, masking, access controls not part of the lineage trail.
Traditional lineage ends at data delivery. The gap between "data delivered" and "decision produced" is a compliance vulnerability.
Lineage events recorded at every data access — source system, federation layer, governance checkpoints
Quality scores, masking events, and access decisions added to the lineage trail
Agent consumption events linked — what the agent queried, when, with what result
Full decision chain available on demand — source to outcome in a single governed view
Lineage evidence exportable for regulatory examination — regulator-ready without additional work
From source system through federation, governance checkpoints, and agent consumption to the business decision — one continuous graph.
Quality assessments, PII masking, access controls, guardrail triggers — all part of the lineage, not separate reports.
Which agent consumed which data, when, with what confidence, and what decision resulted — connected to the data lineage above it.
Reconstruct what data an agent saw at a specific moment — for any historical decision, on demand, with full governance context.
See how Data Lineage works within the Tantor governed intelligence platform.