Annotation. This article discusses the use of artificial intelligence technologies in the fight against social engineering. The purpose of this study is to analyze the technologies of artificial intelligence, its main features and the possibilities of its application. The article also examines the issue of improving the legislation of the Russian Federation, taking into account the use of artificial intelligence technologies. This problem is extremely relevant today due to the growth of crimes involving social engineering methods.

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The paper is focused on DMAIC methodology, which is currently widely used in projects to optimize routine business processes by implementing 6 Sigma methodologies. The article analyzes the applicability of DMAIC methodology to weakly structured non-linear business processes characterized by uncertainty of the input, output and variability of process instances, primarily dependent on content and user behavior. First, it describes the main steps of the methodology: Defi ne, Measure, Analyze, Improve and Control. These steps are used for a routine documentation approval process. Routine process is regulated and has few exceptions; its instances rarely diff er from each other. Standard statistical methods can be used to analyze it, such as control charts. Second, the paper shows approaches to the defi nition of weakly structured processes with the use of the information fi eld and subject-oriented interaction to achieve the goal. Third, tools and techniques that extend the DMAIC methodology for weakly structured process are proposed using the example of ad-hoc weakly structured operational risk management processes. The main diff erences were identifi ed in the Defi ne, Measure and Analyze steps. These recommendations can be used in projects to optimize weakly structured processes.