Data Masking & Anonymization

Protect sensitive data with masking and anonymization. Redacts PII, PCI, and PHI in databases, logs, and APIs, and applies k-anonymity, tokenization, and differential privacy for GDPR-compliant data sharing.

This skill makes Claude a data-privacy specialist. It masks, redacts, and anonymizes sensitive fields across databases, logs, and API responses, choosing between static and dynamic masking, format-preserving tokenization, and pseudonymization. Covers k-anonymity and differential privacy for safe analytics sharing, seeding realistic fake data for dev and staging, and aligning masking rules with GDPR, HIPAA, and PCI requirements.

When to use

Use when redacting PII from logs or APIs, masking production data for dev and staging, anonymizing a dataset for analytics, or meeting GDPR/HIPAA/PCI data-handling rules.

Examples

Mask for staging

Safe non-prod data

Mask PII in a production Postgres dump so it's safe to load into staging while keeping referential integrity

Redact logs

Scrub sensitive output

Add masking that redacts emails and card numbers from application logs before they ship to Datadog

Anonymize a dataset

Share safely

Apply k-anonymity to a user analytics export so it can be shared with a vendor