Development of BI-Platforms for Cybersecurity Predictive Analytics

The distribution of analytical information systems, the so-called BI platforms (BI – business intelligence) in leading state and commercial companies, allows the top-managers and analysts to work in real time with large information volumes (Big Data). However, the issue of choosing tools for secure access to these new sources of corporate data becomes relevant. The trend of recent years is the integration of business security software products, and the transition from specialized analytical solutions to multipurpose BI platforms. The article considers approaches to providing security in information systems of banks and electronic commerce using multipurpose BI-platforms. The analysis of key problems in arrangement of the Big Data was performed and the problems of implementation, operation and maintenance of BI systems were identified. The analysis of the advantages of the systems of the class Advanced Analytics (Big Data, NoSQL-storages, processing of streaming data on-line) over traditional BI-systems (ETL + SQL + reports) is made. The system features of the BI-platform of security are considered: typical agents and formats of data loading agents, possible types and model of data, the structure of the computing cluster and the gateway. An algorithm for detecting security incidents is given. It has been proven that in order to reduce the dependence level on foreign technologies, the public sector should completely switch to work with Russian software and hardware platform developers. In turn, the commercial segment should also facilitate the transition to Russian developments and more actively use them in their activities.