Gartner defines data loss prevention (DLP) as a technical control designed to prevent data loss in order to comply with personal data regulations, prevent unintended disclosure, minimize insider risk and ensure that sensitive data is not overly accessible. DLP controls are typically applied to reduce the data risk for two states of unstructured data: data at rest and data in motion. Depending on the state of the data, DLP applies detective, preventive or corrective controls, including alerting, quarantining, blocking, redaction or access restriction.
Data security posture management (DSPM) discovers previously unknown data across on-premises data centers and cloud service providers (CSPs). It also helps categorize and classify previously unknown and discovered unstructured and structured data. As data rapidly proliferates, DSPM assesses who has access to it to determine its security posture and exposure to privacy, security and AI-usage-related risks. DSPM is delivered as software or as a service.
Gartner defines the data storage management services (DSMS) market as products and services designed to provide a unified view and orchestrate the life cycle of enterprise data residing in multicloud, hybrid and SaaS environments. Using data discovery technologies and tools, DSMS products and services perform data classification, categorization and tagging to provide insights on structured and unstructured data. These insights enable data management business outcomes, such as creating storage efficiencies, optimizing costs, enabling analytics workflows, and better managing data compliance and security.