Data Masking

Data masking is a technique used to protect sensitive information by replacing it with fake but realistic-looking data. This allows organizations to use datasets for testing or analysis without revealing personal or confidential details. For example, a real name like “John Doe” might be replaced with “Jane Smith.” This way, the data remains useful for development or training purposes, while safeguarding individual privacy and complying with regulations. Data masking helps prevent unauthorized access to sensitive information, ensuring that privacy and security are maintained even when data is shared.