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Specialized orchestration of Named Entity Recognition models to coordinate PII detection across different languages.
Distinct from Model Orchestration: Specifically targets NER models for PII detection rather than general machine learning task optimization.
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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
Integrates and manages multiple Named Entity Recognition models to detect sensitive data across different languages.