Definition
Data Anonymization is the process of removing or modifying personally identifiable information from datasets so that individuals cannot be identified, allowing the data to be used for analysis, research, or sharing without privacy violations.
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Common questions about Data Anonymization answered by our security experts.
Related Terms
Data Privacy
Data Privacy is the right of individuals to control how their personal information is collected, used, stored, and shared by organizations, enforced through regulations like GDPR, CCPA, and PIPEDA.
GDPR
The General Data Protection Regulation (GDPR) is a comprehensive EU data protection law that governs how organizations collect, process, store, and transfer personal data of EU residents, with significant penalties for non-compliance.
Differential Privacy
Differential Privacy is a mathematical framework that enables organizations to share information about datasets while withholding information about individuals, adding controlled statistical noise to query results to protect privacy.
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