Anonymization System

You can anonymize PII in text by using this system to automatically detect and replace sensitive data with placeholders before sending it to AI providers. It leverages Microsoft Presidio and spaCy for NER and pattern-based detection.

GDPR compliance requires protecting personal data, and anonymizing PII before AI integration ensures sensitive information is replaced with placeholders. This system specifically addresses that requirement by processing text before it reaches AI providers.

The best way to configure PII anonymization is by enabling it through agent frontmatter using the anonymize and use_anonymization_proxy keys. You can also customize settings through an anonymizer.json file for system defaults and customer-specific rules.

To prevent false positives during PII anonymization, you can whitelist terms that should never be anonymized. This is configured through the system's custom configuration files, ensuring specific terms bypass the replacement process.

Yes, you need Microsoft Presidio and spaCy to detect and replace sensitive data. These dependencies are required for the system's named entity recognition and pattern-based detection capabilities to function correctly.

Yes, you can use this PII anonymization system with AI providers like OpenAI, Claude, and Gemini. It processes text to replace personal identifiable information with placeholders before the data is sent to these external services.