Financial documents contain rich data for analytics and AI but are packed with PII that must be protected. Tonic Textual offers two de-identification strategies: redaction (replacing sensitive values with placeholders) and synthesis (replacing them with realistic fictional alternatives). The tool uses NER and document parsing to handle unstructured financial text like bank statements. A step-by-step walkthrough covers creating a dataset, configuring redaction/synthesis strategies, previewing results, making manual adjustments, and exporting de-identified documents. This enables compliant use of financial data for ML training, analytics, and sharing under regulations like GLBA, CCPA, and GDPR.
Table of contents
Why de-identification matters in financial servicesRedaction vs. synthesisWhy financial documents are especially challengingDe-identifying bank statements with Tonic TextualA practical example using bank statementsUnlocking financial text data safelySort: