pii-detector-redactor

Automated PII redaction detects sensitive data like names, addresses, and national insurance numbers, then applies masking or removal techniques to ensure GDPR compliance. It scans structured and unstructured text, classifies categories with confidence scores, and outputs redacted documents with audit logs.

Anonymising customer transcripts involves detecting PII such as emails, phone numbers, and names, then applying configurable redaction styles like partial masking or pseudonymisation. This replaces sensitive data with consistent placeholders, making the transcript safe for external sharing while retaining context.

Yes, redaction styles are configurable per PII category. You can choose full replacement, partial masking, consistent pseudonymisation, or complete removal for specific data types like bank account numbers, ensuring flexibility based on your data protection requirements.

Yes, the process generates structured JSON audit logs detailing all detection and redaction actions. These logs include detection summaries, flagged items for review, and confidence scores, providing the necessary accountability trails required for GDPR compliance.

Contextual analysis improves PII detection by examining the surrounding text to accurately identify and classify sensitive information in unstructured documents. It assigns confidence scores to detected items, reducing false positives and ensuring precise redaction of names, addresses, and financial details.

PII detection identifies names, addresses, emails, phone numbers, national insurance numbers, passport details, and bank account numbers. It processes both structured and unstructured data, categorising each detection with confidence scores for accurate redaction.