METHOD AND A SYSTEM FOR PREDICTION OF CYBER SECURITY RISKS DURING THE DEVELOPMENT OF SOFTWARE PRODUCTS Russian patent published in 2021 - IPC G06N20/10 G06F17/18 

FIELD: computing.

SUBSTANCE: invention relates to computing. Disclosed is a computer-implemented method for predicting cybersecurity risks in the development of software products, in which data is obtained containing information about teams of software developers and software products being developed; processing the received data using a machine learning model trained on the basis of expert data on cybersecurity, in the course of which the following is carried out: division of the received data into categorical and numerical variables; processing the obtained variables, performing vectorization of categorical variables and normalization of numerical variables; concatenation of processed variables and building a vector based on them; assessment using the vector of the degree of occurrence of cybersecurity risks for each software product, and the classification of development teams with the assignment of the degree of probability of occurrence of the cybersecurity risk based on the assessment of the developed software products.

EFFECT: invention improves speed and accuracy of predicting cybersecurity risks and classifying agile teams according to the degree of cybersecurity requirements fulfillment.

7 cl, 4 dwg