@t8p7m3k9
Data masking techniques include tokenization (replacing sensitive data with synthetic tokens), shuffling (randomizing values while preserving structure), and encryption (AES-256 for static data). Dynamic masking applies rules at query time (e.g., showing last 4 digits of SSNs). Format-preserving encryption (FPE) maintains data types, while proxy servers intercept and mask real-time API responses. Masked datasets comply with GDPR and HIPAA.
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