What Regulators Require From Data Lineage for Compliance

Regulators in banking, insurance, utilities, privacy, and AI oversight use different rules but share a common expectation: organizations must provide current, verifiable evidence of where data originated and every transformation it underwent. Requirements such as BCBS 239, SR 26-2, the EU AI Act, NERC CIP-012-2, GDPR, and CCPA therefore depend on lineage that identifies the original system of record, captures transformations in application code and ETL processes as well as warehouses, and remains updated as pipelines change. The piece argues that catalog-based lineage inferred from query logs and warehouse metadata is often inadequate because it can miss important upstream logic, particularly for risk calculations, personal-data handling, and AI model inputs. It presents deterministic lineage derived from source-code analysis as a more complete, repeatable form of audit evidence, and promotes Foundational as a platform intended to provide this common evidentiary layer across regulations, citing Lemonade’s AI underwriting approval process as an example.

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