Data Masking

Data masking is the process of protecting sensitive information by creating a realistic but fake version of organisational data. It modifies the original values using techniques such as character shuffling, substitution, and encryption to preserve the data’s format while ensuring it cannot be deciphered or reverse-engineered. This method is essential for complying with privacy regulations such as GDPR and for securing personally identifiable information (PII), financial data, and intellectual property. It is commonly used in scenarios where real data is not needed, such as software testing, user training, and sales demos.

Explore the Topic Further:

AWS: What is Data Masking
Data Masking & The GDPR
Imperva: Data Masking