Product

Presidio

by Data Privacy Stack

Product website
https://presidio.dataprivacystack.org/
Documentation
https://data-privacy-stack.github.io/presidio/
Categories
Data Privacy / Compliance Tooling PII Detection & Redaction

Description

Open-source framework for detecting and de-identifying personal information in text and images.

AI-native score

How ready this product is for agents to use, on a 0–100 scale across four weighted dimensions. Security is one of them, so a high score is not a substitute for your own security or vendor-risk review. How is this scored?

Unrated. Only 38% of the scored decision fields are researched, so the grade is held until more are confirmed. The breakdown below shows what's been scored.

Integration2/10Trust0/6Portability4/4Security0/4Tier D27/100
Component Raw Weight Contribution
Integration 2/10 35% 7.0
Trust 0/6 30% 0.0
Portability 4/4 20% 20.0
Security 0/4 15% 0.0
Signals that fired
  • Integration: API spec, OpenAPI / gRPC / GraphQL (+1) ; SDK / developer kit (+1)
  • Portability: Standard protocol access (+1) ; No proprietary-SDK lock-in (+1) ; Self-hostable (+1) ; Open source (+1)
Signals not researched

These gaps cover the fields used in the AI-native score.

  • Integration surfaces: llms.txt, Headless signup, Native connectors, Command-line interfaces
  • Trust & data policy: Trust center, Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Documented provider swap
  • Security & compliance: Compliance certifications, Access controls

Trust & data policy

Standard protocol access
Yes
No proprietary-SDK lock-in
Yes
Self-hostable
Yes
Open source
Yes
Source code
https://github.com/data-privacy-stack/presidio

Not yet researched Trust center, Multi-factor authentication, Zero data retention, No generative AI training, Hard budget caps, Sandbox environment, Data export, Data import, Open standards, Documented provider swap

What it does

Jobs to be done

  • Detect and redact personal data

    Identify personally identifiable information in text and remove or mask it before downstream processing.

    View 4 products

Integration surfaces

How an agent connects to this product and finds its documentation. The largest dimension of the AI-native score (35%).

WebMCP
No

API specs

Developer kits

Confirmed absent MCP servers , Agent2Agent (A2A) servers , Agent skills

Not yet researched llms.txt, Headless signup, Native connectors, Command-line interfaces

Offers

No offers recorded.

Reviews

No approved reviews yet.

RSS: approved reviews

Catalog activity

Track how this entry changes as proposals are opened and merged.

RSS: merged changes · RSS: open proposals

Products from other publishers that share a job-to-be-done or category, most-shared first.

  • OpenAI Privacy Filter by OpenAI Unrated

    Same job: Detect and redact personal data (not assessed)

  • Amazon Comprehend by Amazon Web Services Unrated

    Same job: Detect and redact personal data (not assessed)

  • Limina by Private AI Unrated

    Same job: Detect and redact personal data (not assessed)

  • Vanta Platform by Vanta Unrated
    Data Privacy / Compliance Tooling

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Markdown

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Ready to decide?

Unrated · 38% researched. Grade withheld until more fields are verified.

Visit Presidio