May 13, 2024, 9:23 a.m. | Michael LItner

DEV Community

In the field of data security and management, it is vital to understand the distinctions between data anonymization and synthetic data. Both methods are pivotal for organizations that need to protect sensitive information while retaining the functionality necessary for development and testing. Here are some insights into these approaches and their implications.

Data Anonymization Explained

Data anonymization modifies identifiable data to prevent it from being linked back to an individual without additional, separate information. This technique is crucial for safeguarding …

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