Data masking

Technique used to protect sensitive information by replacing it with fictional but realistic data. It includes methods like substitution, shuffling, number and date variance, encryption, and nulling out, ensuring that the data remains useful while being secure. Data masking is primarily used in testing, development, data analysis, and to ensure regulatory compliance, benefiting organizations that handle sensitive information.