Ejup Rustemi
University of Tetova, North Macedonia
E-mail: Ejuprustemi2002@gmail.com
ORCiD iD: https://orcid.org/0009-0003-5133-7834
Abstract
The application of artificial intelligence in cybersecurity refers to the use of AI to assist in the protection of systems, networks, and data from potential dangers. It is intended to enhance security by analyzing vast amounts of information, identifying potential threats earlier, coordinating responses more quickly, and providing support for decision-making that is more accurate. In order to accomplish this, artificial intelligence in cybersecurity relies on a number of cutting-edge technologies. Machine learning, for instance, is an essential component of it because it enables systems to learn from previous cyberattacks and be able to recognize such similar patterns in the future. For instance, it can identify unusual account login behavior or sudden and immediate spikes in Internet traffic. This is built upon by deep learning, which is capable of managing data that is more complicated and layered. This technique assists in identifying dangers that are more difficult to notice, such as minor changes in user activity.
Keywords: AI, cybersecurity, application, threat detection, attacks
Introduction
Natural language processing (NLP) is a method that aids artificial intelligence in understanding and analyzing textual material, such as reports, emails or chat logs, to detect phishing indicators or extract critical information regarding dangers.
Currently, ninety-five percent of consumers concur that artificial intelligence-driven cybersecurity solutions enhance the speed and efficacy of detection, prevention, recovery and response. Utilizing artificial intelligence is a prudent approach to mitigate emerging dangers and alleviate the burden on human security staff.
AI has a multitude of applications within the realm of cybersecurity. Rather than focusing exclusively on threat response, it augments the broader security framework by enabling early detection, making systems reduce false alarms, improve access control, and adapting to emerging threats as they arise.