Prospects for the Use of Machine Learning to Ensure Compliance of Software Products with State Regulatory Requirements

Abstract

Ensuring compliance of software products with various government regulatory requirements, industry standards and best practices is one of the key tasks for modern organizations and companies that develop or implement these products. In this article, the prospects for using machine learning to ensure compliance of software products with government regulatory requirements are discussed. Modern machine learning methods that can be applied to automate the process of verifying software products for compliance with governmental requirements have been analyzed. An assessment of the potential of implementing machine learning has discovered significant benefits, including increased efficiency, accuracy, and scalability of compliance verification processes. The potential benefits and challenges of implementing these technologies in the field of ensuring compliance of software products with state standards are described. Based on the obtained results practical recommendations for the effective implementation of machine learning are proposed.