Structure-Preserving Processing vs Flat Masking

Flat masking and structure-preserving processing both aim to protect sensitive data before AI processing. They differ fundamentally in how they handle document structure, entity relationships, and semantic context — and this difference determines whether AI outputs are usable.

Flat masking scans documents for sensitive patterns and replaces each match with a generic token. The replacement is uniform — every name becomes [NAME], every number becomes [NUMBER], every date becomes [DATE]. The masking engine treats each sensitive value independently, without considering its role in the document's structure.

• Entity collapse. In a multi-party contract, all party names become [NAME]. AI cannot distinguish acquirer from target, lender from borrower, plaintiff from defendant.
• Table destruction. Column headers masked as [FIELD] and cell values masked as [VALUE] eliminate the schema information AI needs for accurate extraction.
• Cross-reference breakage. When a document references "see Section 3.2 regarding [NAME]'s obligations," flat masking removes the entity link that gives the reference meaning.
• Inconsistent replacement. The same entity may receive different tokens in different document locations, breaking AI's ability to track entities across sections.

Structure-preserving processing maintains document integrity during data protection. Entity consistency is enforced across the entire document. Table structures, cross-references, and semantic relationships are preserved. AI receives a structurally complete document that supports accurate processing.