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SkillsMay 11, 2026·2 min de lectura

Presidio — Detect and Anonymize PII

Detect and anonymize PII in text with Microsoft Presidio, then feed sanitized inputs to LLMs to reduce leakage risk. Works via pip or Docker deployments.

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Tipo
Skill
Instalación
Single
Confianza
Confianza: Established
Entrada
Asset
Comando de instalación directa
npx -y tokrepo@latest install d4d3e9a3-9494-4b05-bf05-74368b2ff338 --target codex

Ejecutar después de confirmar el plan con dry-run.

Introducción

Detect and anonymize PII in text with Microsoft Presidio, then feed sanitized inputs to LLMs to reduce leakage risk. Works via pip or Docker deployments.

  • Best for: LLM apps handling customer data that need PII de-identification before prompts, logs, or embeddings
  • Works with: Python, text pipelines, pre-processing for prompts/logging/indexing; optional Docker services
  • Setup time: 18 minutes

Quantitative Notes

  • Setup time ~18 minutes (pip install + download one NLP model if needed)
  • GitHub stars + forks (verified): see Source & Thanks
  • Common pattern: sanitize inputs + sanitize outputs + sanitize logs (3 enforcement points)

Practical Notes

For production, treat PII sanitization as a policy: define what counts as PII for your domain, add allowlists for non-sensitive identifiers, and write regression tests with real-ish examples. Use Presidio as a pre-processor before prompts and embeddings, and consider sanitizing outputs as well when users paste secrets.

Safety note: PII detection is probabilistic—combine rules, tests, and human review for high-stakes data flows.

FAQ

Q: Why use it with LLMs? A: It reduces the chance of leaking personal data to model providers, logs, or downstream tools.

Q: Is it only for text? A: This repo focuses on PII anonymization tooling; follow the docs for supported modalities and deployments.

Q: Where should I integrate it? A: Integrate in your request middleware and also sanitize transcripts before storage or embeddings.

🙏

Fuente y agradecimientos

GitHub: https://github.com/microsoft/presidio Owner avatar: https://avatars.githubusercontent.com/u/6154722?v=4 License (SPDX): MIT GitHub stars (verified via api.github.com/repos/microsoft/presidio): 8,019 GitHub forks (verified via api.github.com/repos/microsoft/presidio): 1,041

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