Playbook: Privacy-preserving Data Practices & Minimization

Practical techniques for pseudonymization, minimization, and safe data sampling for AI projects.

Playbook

Privacy-preserving Data Practices & Minimization Guide

Practical, actionable techniques for pseudonymization, data minimization, safe sampling, synthetic data, masking templates, and governance checkpoints to reduce privacy exposure in AI pilots and production.

Playbook
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Checklist

Privacy-Preserving Data Practices & Minimization Checklist

An actionable, interactive checklist to guide data minimization, pseudonymization, safe sampling, retention scheduling, and privacy review sign-off for AI projects. Designed for project teams to record decisions, attach artifacts, and produce a stored sign-off record.

Checklist
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