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Skill community intermediate

PII Classifier

Find PII in a dataset and propose the masking policy.

Scans column names and sample values for PII categories, then proposes classification tags and a masking/pseudonymisation policy.

npx de-agent-platform add pii-classifier

At a glance

What Find PII in a dataset and propose the masking policy.
Where Security · tech-python · tech-snowflake

Learning objectives

  • Classify columns into PII categories
  • Choose masking vs hashing vs tokenisation
  • Record a data-classification tag

Security scan

Last sweep 2026-10-24: 0 finding(s), 0 marked as examples.

Details

PII Classifier

Caution

Sampling real data to find PII is itself a privacy action. Prefer metadata-only heuristics first; only sample with authorisation, and never persist samples.

Categories

Direct identifiers (name, email, phone, national ID), quasi-identifiers (postcode, DOB), sensitive attributes (health, financial), and free text (which can contain anything).

Policy mapping

Direct → mask or tokenise. Quasi → generalise. Free text → never expose raw in analytics; store separately with restricted access.

Registry stats

Verification community · Sep 10, 2026
Completeness 96
Trust multiplier ×0.5
Composite 34.4 · adequate
Freshness 44 days since last source check
Difficulty intermediate
Version 0.1.1
License Apache-2.0
Security flags 3