datamask
dataMask refers to a set of techniques and tools used to obscure, redact, or substitute sensitive information within databases and datasets. The aim is to protect privacy and support regulatory compliance while preserving the structure and usability of data for non-production tasks such as development, testing, and analytics. dataMask generally contrasts with encryption; masked values are designed to be non-sensitive in downstream use, with access to the original data controlled by policy and roles.
DataMask deployments are typically categorized as static data masking and dynamic data masking. Static masking permanently
Common masking techniques include substitution (replacing a value with another realistic but fictitious one), shuffling (permuting
Use cases for dataMask include protecting personal information in development and testing environments, enabling data sharing