deident

Policy-driven pseudonymization and risk-assessed anonymization engine for structured datasets.

Pluginfreeglobal

deident is a policy-driven privacy transformation engine that pseudonymizes or risk-assesses and anonymizes structured datasets — CSV, JSONL, Parquet, and DICOM — using a declarative YAML policy, with reversible pseudonymization and non-reversible anonymization as two distinct, clearly-labeled modes. It's for data and compliance teams who need consistent, policy-driven identifier handling instead of hand-writing custom scripts, though it explicitly cannot certify true anonymity.

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Full match profile

Behind the summary, Matchbox keeps a richer profile of deident - the signals our matcher actually reads to decide when to surface it. It stays private; claim the listing to see and control it.

Problem & pain-point mapping
Who we surface it to (audience fit)
What it's a strong alternative to
Trust & credibility signals

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