Global-scale scandals around sensitive data losses have highlighted the need for effective data protection, especially from insider attacks. Data masking, which is focused on protecting data from insiders and outsiders, is a must-have technology in enterprises’ and governments’ security portfolios.
Data masking (DM) is a technology aimed at preventing the abuse of sensitive data by giving users fictitious (yet realistic) data instead of real sensitive data. It aims to deter the misuse of data at rest, typically in nonproduction databases (static data masking [SDM]), and data in transit, typically in production databases (dynamic data masking [DDM]).
SDM for relational databases remains the most demanded technology, and, in this research, we highly value vendors’ ability to execute in the SDM space (that is, to demonstrate maturity, quality and scalability of SDM technology, as well as the high revenue from and broad adoption of it). From a visionary’s viewpoint, we highly value vendors’ ability to offer DDM, the masking of the big data platform and suites with multiple data security technologies.
Read more at: Magic Quadrant for Data Masking Technology