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.
Employee productivity monitoring software uses automated data collection, analytics as well as logs from applications, calendars, etc. to report on employees’ activities, time spent, work locations and work patterns. It can provide insights into when employees are working and what work is being done. Insights thus generated from employee productivity monitoring can support efforts to improve organizational effectiveness, employee experience, worker well-being and working-time compliance. This software also creates detailed reports on the collected data that helps employees manage their workload for optimum results and managers to measure employee performance.
Gartner defines the insider risk management (IRM) market as solutions that use advanced analytics, monitoring, and behavior-based risk models to detect, analyze and mitigate risks posed by trusted insiders within an organization. These solutions monitor the activities of employees, service partners and key suppliers to ensure their behavior aligns with corporate policies and risk tolerance levels. IRM platforms can be delivered as cloud-based services or on-premises solutions, or in hybrid forms. When effectively implemented alongside proper governance, they provide comprehensive visibility, real-time detection, and proactive intervention to safeguard against data theft, fraud and other malicious or unintentional insider threat activities.