The Role of Artificial Intelligence and Machine Learning in Shaping the Future of Cybersecurity: Trends, Applications, and Ethical Considerations
Sarah Al-Mansoori
Department of Cybersecurity, University of Tataouine, Tataouine, Tunisia
Mohamed Ben Salem
Center for Blockchain Technology and IoT Security, Gafsa University, Gafsa, Tunisia
Keywords: Artificial Intelligence, Machine Learning, Cybersecurity, Ethical Considerations, Threat Detection, Anomaly Detection
Abstract
This article explores the revolutionary effects of Artificial Intelligence (AI) and Machine Learning (ML) on the cybersecurity field. As cyber threats become more complex and adaptive, the application of AI and ML technologies in the construction of effective, dynamic defensive systems for digital assets has become crucial. This paper provides a thorough analysis of the prevalent trends and applications of AI and ML in cybersecurity, including their involvement in threat detection, risk assessment, and automated response systems. In addition, this study expands the discussion to include the complex ethical questions that accompany the deployment of this advanced technology. It investigates issues including algorithmic bias, data privacy, accountability, transparency, job displacement, and legal and regulatory obstacles. The purpose is to present an integrative perspective that not only highlights technology breakthroughs but also emphasizes the necessity of applying AI and ML in cybersecurity frameworks in an ethical and responsible manner. This article seeks to provide a more comprehensive understanding of the emerging cybersecurity landscape by combining technical analysis with ethical criticism. It acts as a resource for cybersecurity professionals, policymakers, and researchers, promoting informed decision-making and creating a discussion on ethical governance in the era of AI- and ML-powered cybersecurity.
Author Biography
Mohamed Ben Salem, Center for Blockchain Technology and IoT Security, Gafsa University, Gafsa, Tunisia
