Classification Inheritance

Classification inheritance is the mechanism by which a classification label applied to one data asset automatically propagates to related assets — typically downward through a hierarchy (a database's classification flows to its schemas, tables, and columns) or along lineage (a column classified as confidential passes that label to downstream copies and derivations). Inherited labels can usually be overridden at lower levels when a specific asset genuinely warrants a different sensitivity.

Inheritance matters because manual classification does not scale. A mid-sized organization can easily hold hundreds of thousands of columns; classifying each one by hand is impossible to complete and harder to keep current. With inheritance, stewards classify at the highest sensible level and let the platform apply labels consistently — then focus their attention on the exceptions.

For a Saudi DMO, this is the difference between a classification policy on paper and one in practice. The NDMO data classification requirements expect labels to be applied consistently across the estate, and PDPL compliance depends on knowing where personal data is — including in copies, extracts, and downstream tables that humans rarely re-classify. Lineage-based inheritance closes exactly that gap: when a PII column feeds a reporting table, the sensitivity follows the data automatically, keeping protection aligned with where the data actually flows.