A Survey of Artificial Intelligence in Cybersecurity

In developing advanced cybersecurity solutions, Artificial Intelligence (AI) is revolutionizing the identification and mitigation of cyber threats. Various AI techniques in cybersecurity, such as Learning Algorithms, Expert Systems, and Biologically Inspired Computation, offer unique advantages compared to traditional methods. For instance, Machine Learning has proven pivotal in detecting new malware and analyzing network intrusions. By employing sophisticated algorithms to discern patterns in vast datasets, these models can detect network intrusions that previous methods would have found difficult. AI is applied across various domains in cybersecurity, encompassing the detection of software vulnerabilities, identification of malware, detection of network intrusions, and prevention of phishing and spam.
Furthermore, the integration of neural networks in combating phishing and spam illustrates the effectiveness of AI in filtering unwanted and malicious communications. As AI continues to evolve, its role in cybersecurity becomes increasingly vital, offering scalable, flexible solutions to counteract the evolving landscape of cyber threats. However, this progression also requires an examination of AI’s reliability and the potential for AI-generated cybersecurity threats. In this paper, they review the impact of AI on cybersecurity and summarize existing research in terms of the benefits of AI in cybersecurity.