Amazon Macie
Managed sensitive data discovery and protection for Amazon S3.
Open-Source Projects
Discover top open-source software, updated regularly with real-world adoption signals.
Discover top open-source software, updated regularly with real-world adoption signals.
Context‑aware, extensible SDK for detecting and redacting PII
Presidio provides a pluggable framework to identify, mask, and anonymize personally identifiable information in text, images, and structured data, supporting custom recognizers, multiple languages, and deployment via Python, Docker, or Kubernetes.
Presidio is designed for organizations that need to protect privacy while processing large volumes of data. It offers a modular pipeline that can detect, mask, and anonymize PII across unstructured text, image files (including DICOM), and structured datasets.
The framework includes an Analyzer for entity detection, an Anonymizer for flexible redaction strategies, and an Image‑Redactor for visual data. Users can employ predefined recognizers based on NER, regex, rule‑based logic, or checksum, and they can also plug in external models or create custom recognizers to meet domain‑specific needs. Deployment options span from simple Python scripts to PySpark workloads, Docker containers, and Kubernetes clusters, enabling both automated and semi‑automated privacy workflows.
Presidio’s architecture encourages customization at every stage—recognizer selection, masking technique, and post‑processing logic—so teams can align the tool with regulatory requirements such as GDPR or HIPAA while maintaining transparency in decision making.
When teams consider Presidio, these hosted platforms usually appear on the same shortlist.
Managed sensitive data discovery and protection for Amazon S3.
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Automated data sanitization for analytics
Redacts personal identifiers from logs and datasets before they are ingested into analytics platforms.
Redacting patient identifiers in DICOM images
Removes visible and embedded PII from medical imaging files while preserving diagnostic content.
PII masking in customer support transcripts
Ensures chat and email logs are anonymized before storage or model training.
Custom recognizer for domain‑specific identifiers
Detects proprietary codes or serial numbers unique to a business using rule‑based logic.
Presidio includes recognizers for multiple languages and can be extended with language‑specific models or regex patterns.
Create a recognizer class implementing the required interface, register it in the pipeline configuration, and optionally supply custom regex or rule definitions.
Yes, the SDK can be containerized and deployed as a microservice on Kubernetes, scaling with your workload.
No. Automated detection may miss some sensitive data, so additional safeguards should be used alongside Presidio.
Standard image types and DICOM medical images are supported out of the box.
Project at a glance
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