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Main drivers and trends of DLP systems development in the Russian Federation

The rapid development of information technologies, the introduction of new cloud services, and the transfer of employees to remote work necessitate the adequate development of data leak Prevention (DLP) systems. The purpose of this article is to determine factors that affect this process and identify main trends in the development of DLP systems in the Russian Federation. To do this, we analyze statistics on information leaks, explore the prospects for implementing new features of DLP systems based on modern information technologies (BigData, IOT, artificial intelligence and machine learning), and consider ways and means of integrating DLP within complex information security systems (SSI) in accordance with the requirements of the main regulatory and methodological documents of the Russian Federation in the fi of information security. To solve these problems, methods of analysis, synthesis, system analysis, formalization, comparison and analogy are used. Import substitution, digitalization of the economy, ensuring the security of critical information infrastructure, as well as the need to control automated systems, communications and users in distributed work in the context of a pandemic that has caused requirements to restrict personal contacts are considered as the main drivers of development for both information security and information technologies. As a result of the analysis, the most priority areas for the development of automated systems for monitoring information flows were identified: analytics, data visualization, system integration, behavioral analysis of threats to information security. Read more...