Enhancing Cybersecurity Decision Support Systems: Integrating BERT to Address Human Vulnerabilities and Dynamic Threats

The rapid increasing cyberattacks targating on businesses and institutions lately, it is important that security steps be made better. Cybersecurity is an area that is always changing. As hacks get more common and smarter, businesses need to have strong defenses in place. Standard decision support systems (DSS) often can't keep up with these changing risks, which shows how important more advanced options are. By adding ontologies to (BERT) Bidirectional Encoder Representations from Transformers, this project wants to make DSS better at protecting against cyber dangers. The integrated DSS uses BERT for advanced natural language processing and ontologies for organized information representation. It aims to fix the problems with current systems, like their limited ability to process information, lack of flexibility, poor decision support, need for manual data entry and processing, and inability to grow. Also, mistakes made by people are still a big part of how well DSS works in defense. System security can be broken by mistakes made by people. Accidents, stupidity, and not getting enough training are all examples of human mistake. The results of the study might enhance cybersecurity operations by providing a more knowledgeable and flexible method of threat identification and mitigation.