Method and system for generating cybersecurity vulnerability remediation using generative ai

A method for analyzing software issues of at least one computer software comprised in at least one computing system, the method comprising:

• loading, via a processor, from a data storage, a memory, or via a communication device, or via a user entry through a user interface, at least one software file;
• receiving, via the processor, at least one configuration input data associated with configuration settings and preferences;
• modifying, via the processor, the structure of the at least one loaded software file for at least one analysis agent ensemble;
• executing, via the processor, at least one iteration of at least one analysis agent ensemble on at least one modified software file using the received at least one configuration input data;
• identifying, via the processor, at least one potential software issue found through execution of the at least one iteration of the at least one analysis agent ensemble on the at least one modified software file;
• determining, via the processor, options to remediate the at least one potential software issue through at least one of:
• automated updates, guided remediation steps, or a combination thereof;
• delivering, via the processor, the at least one potential software issue and options to remediate the at least one potential software issues to at least one output interface.