Presidio is an open-source SDK for detecting, redacting, masking, and anonymizing Personally Identifiable Information (PII) across text, images, and structured data. It targets developers and organizations needing to protect sensitive data, offering a customizable and extensible framework for data privacy compliance.

How It Works

Presidio employs a modular architecture, featuring an Analyzer for PII detection and an Anonymizer for data transformation. The Analyzer supports a hybrid approach, combining Named Entity Recognition (NER) models, regular expressions, rule-based logic, and checksums, with options to integrate external PII detection models. This allows for context-aware identification of sensitive entities across multiple languages.

Quick Start & Requirements

• Install: pip install presidio-analyzer presidio-anonymizer
• Prerequisites: Python 3.7+, Docker for certain deployments.
• Resources: Requires downloading language models for NER.
• Docs: Full documentation
• Demo: Demo
• Examples: Examples

Highlighted Details

• Supports PII detection and redaction in images, including DICOM medical images.
• Offers Python, PySpark, Docker, and Kubernetes deployment options.
• Highly customizable PII recognizers and de-identification pipelines.
• Handles various PII types like credit card numbers, names, and phone numbers.

Maintenance & Community

• Actively maintained by Microsoft.
• Community discussions via GitHub discussions.
• Bug reports and suggestions via GitHub issues.

Licensing & Compatibility

• License: Apache 2.0.
• Compatible with commercial and closed-source applications.

Limitations & Caveats

While Presidio automates PII detection, it does not guarantee the identification of all sensitive information, necessitating supplementary systems for comprehensive data protection.