A vulnerability scanner for LLMs: it runs a model through a set of probes for prompt injection, data leakage, toxicity and other failures. Works as a command-line tool.
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Securitydata-privacy-stack
presidio
A framework that finds and masks personal data in text, images and tables. It detects the data, then redacts or replaces it so it can be safely sent to a model.
Who it is for
For developers who send user data to LLMs and need to strip personal details first.
How to start
- Open Installing Presidio in the README and pick a method: pip, Docker or from source
- Follow the Getting started guide on the docs site
- Try text anonymization on a sample of your own data
Steps are taken from the README. Check the current version in the repository before running them.
Stars over the last 30 days
+430Sep 6 — Oct 6
Author's description
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
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