Data Anonymization

The process of removing or altering personally identifiable information from datasets so that individuals cannot be re-identified, while maintaining the data's utility for AI training.

Stripping all identifying information from data so no one can figure out who it belongs to. Like blacking out names, addresses and Social Security numbers before sharing a dataset.

Data anonymisation is a foundational privacy control in AI governance. Your data governance policies should specify anonymisation standards for AI training data and verify that anonymisation is effective against re-identification risks.