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One of the decisive directions for solving problems of improving the quality of education is the development of pedagogical systems and their components, the use of new approaches and teaching methods, which are implemented in close interaction with the latest information technologies. Increasing the motivation of students, involving them in interaction within the educational process, can improve the quality of education, develop the necessary competencies. It is proved that interactive learning technologies have great educational and development potential, provide maximum activity of the participants in the educational process, optimal training time and its effectiveness. The article highlights the essence of innovative educational technologies, examines the peculiarities of pedagogical technology "learning in cooperation" as an integral part of the personality-oriented approach in teaching. It was analyzed author's research about training in cooperation with the use of computer technology. The article describes the structure of conducting classes in the form of training in cooperation, the stages of teaching communication, didactic conditions that can provide an effective organization of the stages of learning communication, taking into account the specifics of the learning process. The possibilities of using online tools of interactive learning for the implementation of educational cooperation are demonstrated. The possibilities of using online tools and resources that allow organizing cooperation during the educational process are analyzed. The stages and directions of cooperation with the use of online services are considered. An overview of the tools was carried out and examples of their application were prepared at all stages of the educational process. The advantages of using the described services are demonstrated.

The urgency of the topic is the integration of machine learning technologies into cybersecurity systems. After getting acquainted with the technical literature, the main technologies of machine learning that are implemented in the organization of cybersecurity were formulated. Acquainted with the main type of artificial neural network used in the prevention and detection of cyber threats and found that the main to consider the general application of machine learning technologies are artificial neural networks based on a multilayer perceptron with inverse error propagation. It is proposed to use indicators of compromise cyberattacks as initial information for automatic machine learning systems. Emphasis is placed on the main types of data that can be used by surveillance subsystems for information security and cybersecurity to perform tasks and prevent, classify and predict cybersecurity events. According to the results of the analysis, the main problem areas for their implementation in information security systems are identified. The problem of using machine learning (ML) in cybersecurity is difficult to solve, because advances in this area open up many opportunities, from which it is difficult to choose effective means of implementation and decision-making. In addition, this technology can also be used by hackers to create a cyber attack. The purpose of the study is to implement machine learning in information security and cybersecurity technology, and to depict a model based on self-learning