Data masking is based on the premise that sensitive data can be transformed into less sensitive but still useful data. This is necessary to satisfy application testing use cases that require representative and coherent data, as well as analytics that involve the use of aggregate data for scoring, model building and statistical reporting. The market for data protection, DM included, continues to evolve with technologies designed to redact, anonymize, pseudonymize, or in some way deidentify data in order to protect it against confidentiality or privacy risk.
Gartner defines privileged access management (PAM) as tools that provide an elevated level of technical access through the management and protection of accounts, credentials and commands, which are used to administer or configure systems and applications. PAM tools — available as software, SaaS or hardware appliances — manage privileged access for both people (system administrators and others) and machines (systems or applications). Gartner defines four distinct tool categories for PAM tools: privileged account and session management (PASM), privilege elevation and delegation management (PEDM), secrets management, and cloud infrastructure entitlement management (CIEM).