Data governance & privacy

Presidio

MIT-licensed SDK, originally from Microsoft and now transitioning to community ownership, that detects PII in text, images and structured data using recognizers, regex, rules and checksums, then anonymizes it with configurable operators. It is a developer library with no policy console, access control, lineage or audit features.

open_source · generally available · Research snapshot 2026-09-06

Visit the official product source ↗

Where it fits

Data governance & privacy

Useful conversation with: Software engineer, Privacy engineer, Data scientist.

Ask for a demonstration

Show me a custom recognizer added to Presidio that detects our internal customer ID format and anonymizes it in a prompt before an LLM call.

Capabilities and evidence

Support labels reflect the supplied research. Documentation and vendor claims are not independent product tests. “Not established” means the researcher did not find support; it does not prove a capability is absent.

Documented by provider

Provides identification and anonymization modules covering PII de-identification in text, images and structured or semi-structured data, using predefined or custom recognizers based on named entity recognition, regular expressions, rule-based logic and checksums.

Limit: Neither page states accuracy benchmarks or production support commitments.

Source s1 · Source s2

Documented by provider

The repository is published under the MIT license.

Limit: Licensing of any downstream hosted service is not covered.

Source s1

Documented by provider

The project documentation states Presidio is transitioning to a community-owned project and has moved to a new documentation site.

Limit: Governance structure, maintainers and long-term support commitments are not stated.

Source s2

Limitations to discuss

Sources

  1. microsoft/presidio: An open-source framework for detecting PII · GitHub · official repository
    Access date reported by researcher: 2026-09-06
  2. Presidio · Presidio project · official docs
    Access date reported by researcher: 2026-09-06

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