ASSESSING THE CHALLENGES OF INTEGRATING ARTIFICIAL INTELLIGENCE IN CYBERSECURITY: LIMITATIONS AND OPPORTUNITIES

Abstract

Cybersecurity teams may fortify their defences against a wide range of threats and assaults with the use of artificial intelligence (AI), which automates mundane tasks, improves reaction times, and increases accuracy. This article analyses the literature systematically and presents a comprehensive examination of AI use cases for cybersecurity. This paper looks at the opportunities and challenges that AI brings to cybersecurity. The necessity of strengthening cybersecurity measures because of the growth of the complexity of cyber threats has led to the extended application of artificial intelligence in cybersecurity. This research also analyses the factors that hinder the successful deployment of AI in cybersecurity, including data quality, bias in machine learning, interpretability of decisions made by the AI systems and the ability of AI to learn new threats in the future. Furthermore, the study raises the question of what exactly AI adds to cybersecurity: threat detection and analysis, predictive analysis, automation of analysis, and quicker response to threats. This paper’s analysis of the benefits and risks of AI for cybersecurity is intended for stakeholders interested in optimising the role of AI while also being mindful of its imperfections. The outcomes indicate the imperative to have effective measures for addressing barriers and more effectively leverage AI for improving frameworks for cybersecurity.