Improving Threat Detection, Network Security, and Incident Response With AI

Abdalwali Lutfi, Mohammed Almaayah

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English

IGI Global
03 July 2025

Computer viruses, Trojans & worms; Network security; Artificial intelligence

Artificial intelligence (AI) strengthens cybersecurity by enhancing threat detection, fortifying network security, and streamlining incident response. Traditional security systems often struggle to manage modern cyber threats. AI addresses this challenge by analyzing data in real-time, identifying patterns and anomalies that may indicate malicious activity. Machine learning algorithms detect attacks and threats faster than humans, allowing organizations to respond proactively. In network security, AI helps in monitoring traffic, predicting vulnerabilities, and automatically implementing protective measures. AI-driven incident response tools assess the breaches, contain threats, and initiate recovery protocols. As cyber threats evolve, integrating AI into security infrastructure is essential for maintaining resilience in the digital age. Improving Threat Detection, Network Security, and Incident Response With AI explores the role of AI in cybersecurity, focusing on its applications in threat detection, malware analysis, network security, and incident response. It examines key AI techniques such as machine learning, deep learning, and natural language processing (NLP) that are transforming cybersecurity operations. This book covers topics such as robotics, software engineering, and behavioral analysis, and is a useful resource for computer engineers, security professionals, academicians, researchers, and data scientists.

Edited by: Abdalwali Lutfi, Mohammed Almaayah
Imprint: IGI Global
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm,
ISBN: 9798337321165
Pages: 418
Publication Date: 03 July 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Mohammed Almaayah is an Associate Professor in the Department of Cybersecurity and Cloud Computing. He has published over 95 research papers in highly reputed journals such as the Engineering and Science Technology, an International Journal, Education and Information Technologies, IEEE Access and others. Most of his publications were indexed under the ISI Web of Science and Scopus. His current research interests include Cybersecurity and Cyber-risk assessment and mobile apps.