DLP SYSTEM AS A COMPONENT OF COUNTERING INSIDER THREATS TO INFORMATION CONFIDENTIALITY

Abstract

Information security threats, particularly data leaks caused by employee actions, are increasing every year and pose a serious risk to organizations. The consequences of such threats can be devastating, as employees' existing access to information assets and their knowledge of security controls complicate detection and significantly increase the time required to respond to a security incident. One of the most well-known means of preventing internal information security threats is Data Loss Prevention (DLP) systems. The capability to fine-tune rules for tracking sensitive data across the network helps prevent instances where an employee disseminates confidential data due to carelessness or a lack of awareness. Nevertheless, a DLP solution may prove ineffective against motivated insiders who can exploit security control flaws, such as the inability to inspect an encrypted file for sensitive data. This article explores ways to enhance the efficacy of DLP systems against the intentional theft and distribution of restricted information. This is achieved through the continuous interaction of Data Loss Prevention with other security controls, such as access management, user activity analytics, and an organizational corporate culture focused on ensuring information security. An analysis of modern DLP systems was conducted, and criteria were defined for selecting a solution that would best cover the organization's information infrastructure and ensure a comprehensive approach to data protection. The author emphasizes the importance of integrating Data Loss Prevention and User Activity Monitoring (UAM) for the timely detection of and response to suspicious user behavior. The practical implementation of combining DLP and UAM is examined using the example of the Teramind software suite, whose functionality provides not only full control over data usage within the organization's network but also simplifies the process of responding to confidential information leakage incidents. The research results include the development of recommendations for increasing the effectiveness of DLP systems in countering insider threats.