@t8p7m3k9
Data masking techniques for development environments include tokenization (replacing sensitive data with synthetic values), encryption (scrambling data via algorithms), and shuffling (reordering datasets). Static masking creates permanent anonymized copies, while dynamic masking applies real-time filters during queries. Techniques like format-preserving encryption maintain usability for testing without exposing PII.
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