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.
Instructions file GitHub Copilot
Copilot instructions for data-privacy-stack/presidio, covering presidio development & review instructions, core philosophy, backward compatibility, cross-component changes and security & privacy.
Instructions file GitHub Copilot
Instructions for data-privacy-stack/presidio, covering recognizer changes, the load-bearing rule: test the configuration path, placement and naming, pattern scores and context words.
Instructions file GitHub Copilot
Instructions for data-privacy-stack/presidio, covering yaml configuration & pydantic validation layer, schema/constructor sync, extra must be a deliberate choice, excludenone discipline on kwargs models and fail early, with actionable messages.
Instructions file CodexOpenCode
AGENTS.md instructions for data-privacy-stack/presidio, covering presidio — agent guidelines, working in this repo, adding a pii recognizer, changing the yaml configuration layer and general engineering rules.
Instructions file
Claude Code instructions for data-privacy-stack/presidio, a project described as: 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.