Tag Archives: ai explainability

Why Bronze-Level Temporal Fidelity Obsoletes Traditional Data Lineage Tools in Regulated Platforms

This article argues that in regulated financial services, true data lineage cannot be retrofitted through catalogues or metadata overlays. Regulators require temporal lineage: proof of what was known, when it was known, and how it changed. By preserving audit-grade temporal truth at the Bronze layer, lineage becomes an inherent property of the data rather than a post-hoc reconstruction. The article explains why traditional lineage tools often create false confidence and why temporal fidelity is the only regulator-defensible foundation for lineage.

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