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Encryption of specific data fields or entities within a larger text or record to allow for selective recovery.
Distinct from Document Encryption: None of the candidates cover granular, entity-level encryption within text; they focus on file-level, cache, or key management.
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Presidio is a PII detection and anonymization framework designed to identify and mask personally identifiable information in text. It functions as a PII recognition pipeline and a data masking engine, using a combination of machine learning, regular expressions, and rule-based logic to locate sensitive entities. The system acts as an NER model orchestrator, allowing for the integration of external named entity recognition models and PII detectors to support multi-language privacy scrubbing. It employs a plugin-based recognizer architecture that can be extended with custom recognizers, deny-li
Replace identified information with encrypted values using a cryptographic key to protect data while maintaining recovery options.