Data masking is a technique used to protect sensitive information by replacing it with fictional or scrambled data, while preserving the integrity and format of the original dataset. It is a crucial data security measure employed by organizations to ensure the privacy and confidentiality of sensitive data, such as personally identifiable information (PII), financial records, and intellectual property. Data masking techniques can involve various methods like encryption, substitution, shuffling, or tokenization to ensure that sensitive data remains hidden from unauthorized users, while still allowing the data to be used for development, testing, or analytics purposes. Data masking not only safeguards sensitive information but also ensures compliance with data privacy regulations and helps reduce the risk of data breaches.
This mind map was published on 31 July 2023 and has been viewed 114 times.