Enhancing Security Frameworks with Artificial Intelligence in Cybersecurity

TLDR

Cybersecurity is a major concern that requires innovation, with Data Science and AI playing a central role in detecting and addressing threats by identifying patterns and building data‑based models. The study reviews how AI innovations can enhance detection, prevention, and response to cyber attacks, addresses domain needs, explores intelligent decision‑making protection, and discusses future potential. The authors surveyed 85 banking and IT companies using quantitative questionnaires to evaluate AI’s impact on cybersecurity.

Abstract

Cybersecurity, in the digital era we live in today, has become a major concern that demands innovation. Data Science and Artificial Intelligence (AI) have played a central role in changing the way we understand and address cyber threats. This research will review the important role of innovation in this technology in improving an organization's ability to detect, prevent, and respond to cyber attacks. Identifying patterns and gaining insights from security events in cyber data, while developing appropriate data-based models, is a key element in realizing automated and intelligent security systems. This research reviews needs in the cyber security domain that can be addressed through Artificial Intelligence (AI) techniques. In this study, we employed quantitative methods to assess the impact of artificial intelligence on enhancing cybersecurity by distributing questionnaires to 85 respondents, which included companies operating in the banking and IT sectors. In addition, this research will explore how data-based intelligent decision-making systems are able to protect systems from known and unknown cyber attacks. This research will conclude by considering the future potential of Artificial Intelligence and cybersecurity.