THE ROLE OF ARTIFICIAL INTELLIGENCE IN CYBERSECURITY: CHALLENGES, THREATS, AND FUTURE SOLUTIONS

Abstract

The rapid digitalization of modern enterprises has fundamentally shifted the cybersecurity landscape, rendering traditional, signature-based defense mechanisms increasingly obsolete. As network architectures grow more complex through cloud migration and decentralized workforces, Artificial Intelligence (AI) and Machine Learning (ML) have emerged as indispensable elements of contemporary security strategies. This article investigates the dualistic nature of AI in cybersecurity, analyzing its capacity both as a powerful defensive shield and as an advanced offensive weapon for malicious actors. The study explores the implementation of machine learning for proactive threat detection, the mechanics of AI-driven security automation, and the integration of these technologies within Zero Trust Architectures and cloud environments. Furthermore, it critically examines the dark side of this technological evolution, including adversarial AI, polymorphic malware, and the rising threat of deepfake-enabled phishing attacks. By assessing ethical considerations, data privacy concerns, and future intelligent frameworks, this research underscores the necessity of developing adaptive, transparent, and resilient cybersecurity systems capable of neutralizing next-generation digital threats.