Abstract
The growing complexity and sophistication of cyberattacks have made traditional cybersecurity methods increasingly insufficient. Artificial Intelligence (AI) has emerged as a powerful tool to enhance cybersecurity by enabling systems to detect, prevent, and respond to attacks in real time. AI techniques, such as machine learning (ML), deep learning, and natural language processing (NLP), are particularly well-suited for identifying patterns, detecting anomalies, and automating threat response. This paper explores how AI can be leveraged to improve various aspects of cybersecurity, including threat detection, incident response, and vulnerability management. We also address the challenges of AI adoption in cybersecurity, such as data privacy concerns, adversarial attacks on AI systems, and the need for explainability. The study concludes with a discussion of future trends and potential research directions in AI-enhanced cybersecurity
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Copyright (c) 2025 Dr. Bilal Shah (Author)