Modern software development faces many challenges nowadays. In order to avoiding, minimizing, and monitoring the risks and their impact, it is important to identify, estimate and evaluate the risks. The study addresses software risk management in software development area. An approach to analysis, structuring, and usage is proposed for the information technology (IT) projects in the risk management context. It is based on the study of the existing theoretical knowledge and practices and examples of better management. The author provides recommendations on software risk management and gives a brief overview of the automated software tools.

This article is devoted to aspects associated with the up-coming need for mass implementation of neural networks in the modern society. On the one hand, the latter will fully expand the capabilities of state institutions and society delegated to perform numerous tasks with higher efficiency. However, a significant threat to democratic institutions obliges society to set out the concept of reliable artificial intelligence (AI). The authors explore a new concept of a trusted AI necessary for the scientific and international community to counter improper future digital penetration. Explaining to what extent digital transformation is mandatory, the authors emphasize the numerous dangers associated with the applications of artificial intelligence. The purpose of the article is to study the potential hazards of neural networks’ abuse by the authorities and the resistance to them with reliance on the trusted AI. Studying various aspects of digital transformation and the use of artificial intelligence technologies, the authors formalize the dangers associated with the emergence and propose an approach to the use of digital protection technologies that can be trusted.