This disclosure relates to a
risk assessment method, apparatus, electronic device, and computer-readable storage medium. The method includes: upon triggering a
risk assessment operation for target
software, collecting multivariate data for the target
software, including business characteristic data and
domain knowledge data of the target
software; extracting
feature data corresponding to each
risk factor from the multivariate data, and constructing a target prompt based on the
feature data corresponding to each
risk factor and a prompt template; inputting the target prompt into a large-scale
risk assessment model, and outputting a risk assessment result for the target software. This method can improve the accuracy of risk assessment results.