Within a legal department, the officer responsible for publishing administrative acts and documents had to manually anonymize each decree before posting it online. Between identifying names, addresses, and sensitive numbers, the task was time-consuming and exposed the organization to the risk of oversight or error.
DINA assists teams by automating this process:
- Analysis of act content to identify personal data (last name, first name, address, tax number, etc.)
- Automatic anonymization, with a configurable level depending on the document type or internal requirements
- Generation of a publication-ready version, compliant with GDPR
- Option for human review and validation before release
- Direct integration into the publication or archiving process
Benefits:
- Reduced processing time per published act
- Decreased risk of inadvertent data disclosure
- Compliant and readable documents, ready for distribution
- Staff focused on inspection or final approval tasks
DINA integrates semantic analysis and named entity recognition (NER) modules to automatically detect sensitive personal data in administrative acts and documents (identity, address, tax number, etc.). It applies configurable anonymization rules based on the type of act or document, the required level of confidentiality, and internal policies. The anonymized document is generated in a publication-ready format (PDF, HTML, etc.), with the option for review before validation. DINA interfaces with document management, archiving, or online publication tools, ensuring GDPR compliance, processing traceability, and reduced processing time.