GLOSSARY > DATA ANONYMIZATION

Data Anonymization

The process of removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous.

Data Anonymization is a critical preprocessing step for AI. Before data can be vectorized or used for fine-tuning, automated pipelines must scrub PII, financial data, and classified IP to ensure the resulting model does not accidentally memorize and leak sensitive information during inference.

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