Microsoft Presidio is an open source project for detecting and anonymizing sensitive data in text. The SVN (Structured Vulnerability Notation) integration brings precision to how you identify and handle data such as names, credit cards, IP addresses, and national IDs inside pipelines and applications. By combining preprocessing, NLP-based recognizers, and customizable anonymizers, Presidio SVN lets you enforce data protection at scale without slowing development.
The architecture uses modular analyzers that can be extended with custom recognizers. Out of the box, the system supports multiple languages and formats. Each detection result follows a structured schema that makes downstream processing simple. The SVN aspect ensures that reported issues are machine-readable, version-controlled, and compatible with security scanning pipelines. This allows teams to track sensitive data risks like they track code issues.
Installation is straightforward. Clone the repository from GitHub, configure recognizers for your data types, and define transformation rules. The service can run as a Python library or a standalone API in Docker. Because Microsoft Presidio SVN is language-agnostic at the API level, it can slot into services written in Java, Go, C#, or JavaScript.