Presidio

Presidio is an open-source framework that provides modules for identifying and anonymizing sensitive personal information (PII) in text, images, and structured data.

Presidio is an open-source framework designed to help organizations manage and govern sensitive data. It offers modules to identify and anonymize personally identifiable information (PII) including credit card numbers, names, locations, social security numbers, and financial data. The system utilizes named entity recognition, regular expressions, rule-based logic, and checksums to detect PII across text, images, and structured data. Users can connect to external PII detection models or use predefined recognizers. It supports various deployment methods, including Python or PySpark workloads, Docker, and Kubernetes. The project is currently transitioning to a community-owned model.

Presidio at a glance

Best for: Software engineer
Runs on: open source, self-hosted
Pricing: Free
Released: May 2018
Category: AI coding tool
Website: presidio.dataprivacystack.org

Key features

Identification and anonymization of PII in text and images
Detection of PII using named entity recognition and regular expressions
Customization of PII identification and anonymization logic
Redaction of PII text in images using OCR
Support for structured and semi-structured data analysis
Integration with external PII detection models
Deployment flexibility via Docker, Kubernetes, or Python

Use it for

Anonymizing PII in unstructured text
Redacting sensitive data from images
Identifying PII within structured and semi-structured data
Automating PII de-identification workflows

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