Which technology is useful for detecting insider threats?

Data loss prevention (DLP) software is specifically designed to identify and prevent the unauthorized transfer or exposure of sensitive information within an organization. It employs various techniques, such as monitoring, filtering, and controlling data flows, to effectively safeguard against insider threats. DLP tools analyze data in use, in transit, and at rest, helping to detect any unusual or unauthorized activities by employees that could lead to data breaches or leaks.

As for the other technologies, while they play important roles in security, they do not specifically target the detection of insider threats in the same way that DLP software does. Virtual private networks (VPNs) primarily focus on securing remote access and protecting data in transit, but they do not specifically monitor or analyze insider behavior. Social media monitoring tools are geared towards analyzing public sentiments and can aid in reputation management but do not address internal data protection. Content management systems facilitate the organization and storage of content but lack inherent features for threat detection or prevention related to insider activities.