Utilisation of Artificial Intelligence and Cyber Security Capabilities: The Symbiotic Relationship for Enhanced Security and Applicability

The increasing interconnectivity between physical and cyber systems has led to more vulnerabilities and cyberattacks. The traditional preventive and detective measures are no longer adequate to defend against adversaries, Artificial Intelligence (AI) is used to solve complex problems, including cyber security. Adversaries are also utilising AI for sophisticated and stealth attacks. This study aims to address this problem by exploring the symbiotic relationship of AI and cybersecurity to develop a new, adaptive strategic approach to defending against cyberattacks and improve global security. This paper explores different disciplines to solve security problems with real world context, such as the challenges of scalability and speed in threat detection and response. It develops an algorithm and a predictive model for a Malicious Alert Detection System (MADS) that detects security events and predicts threats in an environment. It evaluates the model’s performance and efficiency. The paper explores Machine Learning (ML) and Deep Learning (DL) techniques and their applicability in cyber security and limitations of using AI. Additionally, it discusses issues, risks, vulnerabilities and attacks against AI systems. It concludes by providing recommendations on security for AI and AI for security, paving the way for future research on enhancing AI-based systems and mitigating its risks.