The Role of AI In Enhancing Threat Detection and Response in Cybersecurity Infrastructures

Abstract

Introduction: Considering growing cyber risks, this study aims to investigate how artificial intelligence (AI) can enhance threat detection and response rates, thereby enhancing cybersecurity systems. It specifically focuses on addressing the urgent requirement for enhanced defence strategies. Methodology: The research utilised a quantitative approach to analyse data gathered from cybersecurity professionals. Surveys are carried out to assess how well AI technologies work in ensuring safety, the challenges faced, and their practical use in various industries. Discussion: The findings show that artificial intelligence, specifically utilizing machine learning and deep learning, significantly improves the capability to detect and mitigate potential risks. Despite this, there are major challenges including high implementation costs, lack of skilled employees, and concerns about data security that act as significant barriers. The study also highlights the broad consensus on the transformative power of AI in revolutionizing cybersecurity, despite the existence of these challenges. Conclusion: It has become obvious that AI technologies have the capability to improve cybersecurity practices through improved identification and response to cyberattacks. However, to make this work, allocating strategic resources for AI infrastructure development, providing extensive training for professionals, and thoroughly assessing ethical implications are crucial.