What AI says about Presidio
Since Jul 5Updated Nov 3, 2026Based on 30,894 AI responses
Reviewed by Dimitry Apollonsky
AI summary
Presidio is an open-source framework and SDK that detects and anonymizes personally identifiable information in text and images. It is the usual answer when teams need to redact PII from user inputs before sending them to a third-party LLM or scan databases for compliance.
Hosted on GitHub Pages
Mentioned in
1%
of AI answers about Presidio and its rivals
- ChatGPT1%
- Google AI Mode1%
AI calls itopen-source,customizable,self-hosted,industry standard,popular,widely used
Markets where AI mentions Presidio
VisibilityLowHighFew answers
All marketsChatGPTGoogle AI Mode
- LLM Security and Governance PlatformsChatGPTGoogle AI Mode
- Data Discovery & Privacy Compliance ToolsChatGPT
- Synthetic Data Generation PlatformsOutside both engines’ top 25
- LLM Output Monitoring PlatformsOutside both engines’ top 25
- LLM Firewall and Guardrail PlatformsOutside both engines’ top 25
- Data Loss Prevention SoftwareOutside both engines’ top 25
- HIPAA Compliance Software and ServicesOutside both engines’ top 25
- Recruiting Sourcing and Screening SoftwareOutside both engines’ top 25
- LLM Agent Frameworks and ToolingOutside both engines’ top 25
Topics where AI mentions Presidio
TopicMentioned in · on this topicRank
- AI picks mostMentioned in
- I need to anonymize a production database for testing. What's an AI tool that can generate realistic but fake PII to replace the sensitive data?on this questionAI picks Tonic most33%
Excerpts where Presidio appeared in the AI's answer
Google AI ModeSep 13, 2026, Google AI Mode Microsoft Presidio is an open-source data protection and anonymization framework.
Google AI ModeAug 28, 2026, Google AI Mode Microsoft Presidio : An open-source PII detection and anonymization framework
Presidio in AI answers
1 of 8
I need a privacy vault that anonymizes data before sending it to public LLM APIs.
ChatGPTChatGPT· Sep 22, 2026
Microsoft Presidio — widely used for PII detection/anonymization pipelines.
Google AI ModeGoogle AI Mode· Oct 13, 2026
Pass text to a local Python instance of presidio-analyzer and presidio-anonymizer.
Sources AI cites
- Your site17%
- Index - Presidio (opens in a new tab) · 10%
- This page has moved (opens in a new tab) · 2%
- This page has moved (opens in a new tab) · 2%
- This page has moved (opens in a new tab) · 1%
- FAQ - Microsoft Presidio (opens in a new tab) · <1%
- This page has moved (opens in a new tab) · <1%
- PII detection evaluation - Microsoft Presidio (opens in a new tab) · <1%
- This page has moved (opens in a new tab) · <1%
- Semi/Structured data - Microsoft Presidio (opens in a new tab) · <1%
- Language Model-based PII/PHI Detection (Experimental Feature) - Microsoft Presidio (opens in a new tab) · <1%
- 10%
- I Built an AI Agent That Doesn't Leak Sensitive Data (opens in a new tab) · 2%
- How to Scrub Sensitive Data Before it Reaches Your LLM (opens in a new tab) · 1%
- Boost LLM Accuracy with Synthetic Data and Evaluation Intelligence (opens in a new tab) · 1%
- The AI That Stops You from Oversharing — PII Guardrails in Action - YouTube (opens in a new tab) · 1%
- How to Secure Data in AI: Essential Guide to PII Masking ... (opens in a new tab) · <1%
- How to Anonymize Your Data Before Putting in ChatGPT ... (opens in a new tab) · <1%
- Data Privacy for LLMs (opens in a new tab) · <1%
- How to Hide Private Data From LLM - YouTube (opens in a new tab) · <1%
- Microsoft Presidio: Stop PII Before It Hits Your LLM (opens in a new tab) · <1%
- Detect & Anonymize Sensitive Data in Text, Images & Tables (opens in a new tab) · <1%
- Leaves Presidio out7%
- GitHub - data-privacy-stack/presidio: 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. · GitHub (opens in a new tab) · 2%Leaves Presidio out
- presidio/docs/faq.md at main · data-privacy-stack/presidio · GitHub (opens in a new tab) · 2%
- GitHub - data-privacy-stack/presidio: 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. · GitHub (opens in a new tab) · <1%Leaves Presidio out
- GitHub - A-Som-Dev/ainonymous: Local proxy that anonymizes sensitive data before it reaches LLM APIs. Code-aware via AST. GDPR/HIPAA presets. MIT licensed. · GitHub (opens in a new tab) · <1%
- GitHub - carnaval-ai/carnaval: Reversible PII anonymization for LLM pipelines: mask names, emails and bank details before text reaches a cloud LLM, then restore them in the response. Local-first, encrypted vault, 6 languages. Python, Apache-2.0. · GitHub (opens in a new tab) · <1%
- presidio/docs/anonymizer/index.md at main · data-privacy-stack/presidio · GitHub (opens in a new tab) · <1%
- presidio/docs/api-docs/api-docs.yml at main · data-privacy-stack/presidio · GitHub (opens in a new tab) · <1%
- presidio/docs/installation.md at main · data-privacy-stack/presidio · GitHub (opens in a new tab) · <1%
- vault-engine GitHub repository (opens in a new tab) · <1%
- GitHub - HydroXai/pii-masker: PII Masker is an open-source tool for protecting sensitive data by automatically detecting and masking PII using advanced AI, powered by DeBERTa-v3. It provides high-precision detection, scalable performance, and a simple Python API for seamless integration into workflows, ensuring privacy compliance in various industries. · GitHub (opens in a new tab) · <1%
- 5%
- [Resource] AI Guardrails: Open-source middleware to add PII Redaction & Injection Defense to local LLMs (opens in a new tab) · 1%
- How to Encrypt Client Data Before Sending to an API-Based LLM? (opens in a new tab) · 1%
- Built real-time PII masking in a RAG chatbot using Microsoft Presidio — production proof inside (opens in a new tab) · <1%
- Created a free tool to check what PII your LLM prompts are leaking ... (opens in a new tab) · <1%
- Built a self-hosted gateway to redact sensitive data before prompts hit LLM APIs (looking for feedback) (opens in a new tab) · <1%
- Is there a tool for scanning .py, ipynb and data files for PII? (opens in a new tab) · <1%
- Creating test databases from the production database? - Reddit (opens in a new tab) · <1%
- How to securely pass private data? : r/LangChain - Reddit (opens in a new tab) · <1%
- Removing PII data with Presidio (opens in a new tab) · <1%
- Anyone here working on image PII redaction for AI gateways? (opens in a new tab) · <1%
- 4%
- Adaptive PII Mitigation Framework for Large Language Models (opens in a new tab) · 1%
- PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction (opens in a new tab) · 1%
- [2606.18782] RedactionBench (opens in a new tab) · <1%
- Teach LLMs to Phish: Stealing Private Information from Language Models (opens in a new tab) · <1%
- Adaptive PII Mitigation Framework for Large Language Models (opens in a new tab) · <1%
- PRvL: Quantifying the Capabilities and Risks of Large Language Models for PII Redaction (opens in a new tab) · <1%
- LLM-Redactor: An Empirical Evaluation of Eight Techniques for Privacy-Preserving LLM Requests (opens in a new tab) · <1%
- Privacy Preserving Prompt Engineering: A Survey (opens in a new tab) · <1%
- Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions (opens in a new tab) · <1%
- Enhancing the De-identification of Personally Identifiable Information in Educational Data (opens in a new tab) · <1%
- 3%
- Fine-tuning LLM for PII Masking (opens in a new tab) · <1%
- Anonymization in Unstructured Data: A Guide for IT & Technical Managers (opens in a new tab) · <1%
- The 100 OSS AI Tools That Matter — Mapping the Contemporary High-Leverage Open-Source AI Tooling | by Adnan Masood, PhD. | Medium (opens in a new tab) · <1%
- Data Security in Databricks: A Practical Framework for Classification, Encryption & Access… (opens in a new tab) · <1%
- Medium (opens in a new tab) · <1%
- Designing a Standard and Secure Framework for Startups to ... (opens in a new tab) · <1%
- Building Resilient Data Pipelines: Navigating PII Masking in Retrieval-Augmented Generation (RAG)… (opens in a new tab) · <1%
- Anonymization and Pseudonymization of Personal Data — Implementing a Service (opens in a new tab) · <1%
- AI Agent Security: Injection & RAG Threats | Medium (opens in a new tab) · <1%
- Medium (opens in a new tab) · <1%
- 2%
- Stop AI From Seeing What It Shouldn’t: A Practical Guide to PII Safety (opens in a new tab) · 1%
- Microsoft Presidio and LangGraph: Enhancing AI Agents with Robust PII Protection and Data Anonymization (opens in a new tab) · <1%
- Presidio as an LLM Guardrail - DEV Community (opens in a new tab) · <1%
- What Is Microsoft Presidio and Why You Need It (Setup + First Detection) (opens in a new tab) · <1%
- Fine-Tuned Models Remember Everything: The Training Data Privacy Problem - DEV Community (opens in a new tab) · <1%
