Structure-preserving processing is a data protection method that replaces sensitive elements in enterprise documents while maintaining document layout, entity relationships, table structures, cross-references, and semantic context. It ensures AI models receive structurally intact documents for accurate processing.
Explanation
Flat masking treats every sensitive value as an independent token, replacing each with a generic placeholder. This collapses entity relationships, breaks table schemas, and removes the structural information AI models use for comprehension.
Structure-preserving processing maintains these relationships. When the same entity appears in multiple locations, all occurrences map to the same replacement. Table column headers and row identifiers remain semantically consistent. Cross-references between document sections maintain their logical connections.
Example
A contract references “Acme Corp” 47 times across 30 pages — as a party in the preamble, a signatory in the execution block, and a reference in 12 obligation clauses. Structure-preserving processing replaces all 47 instances with ENTITY_A, maintaining the ability for AI to track Acme Corp’s obligations throughout the document.