Description: Masking algorithms are tools specifically designed to effectively implement data masking techniques. Their primary goal is to protect the privacy of sensitive information by modifying the original data in such a way that its utility for analysis and processing is maintained, while ensuring that the identity of the individuals to whom it belongs is not revealed. These algorithms can apply various techniques, such as substitution, encryption, or data perturbation, ensuring that the masked information cannot be reverted to its original form without the appropriate key or method. The relevance of these algorithms lies in their ability to comply with data protection regulations, such as GDPR in Europe, and in their use in sectors where privacy is critical, such as healthcare, finance, and education. By allowing the use of data in development and testing environments without compromising privacy, masking algorithms have become an essential tool in modern data management.
