Data lineage records and monitors the end-to-end journey of data—sources, movements, transformations, storage locations, uses, and dependencies—providing traceability, auditability, and accountability across the AI lifecycle. “Origin” is a single point (provenance), “transformation” is one step within the flow, and “processing” is a general activity rather than a governance record of the entire path.