Cybersecurity Insurance Frameworks and Innovations in the AI Era

Moatsum Alawida, Ammar Almomani, Mohammad Alauthman

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English

IGI Global
25 June 2025

Insurance & actuarial studies; Network security; Artificial intelligence

As cyber threats grow in frequency and complexity, cybersecurity insurance emerge as a necessity for businesses navigating digital risk. In the AI era, both the nature of attacks and the defense mechanisms evolve rapidly, prompting a transformation in how cyber insurance frameworks are designed and delivered. AI enables more precise risk modeling, faster incident response, and streamlined claims processing, making policies smarter, more adaptive, and data driven. For businesses, this convergence of cybersecurity and AI-driven insurance innovation offers protection and a competitive edge in managing operational and reputational risk. Cybersecurity Insurance Frameworks and Innovations in the AI Era explores cybersecurity insurance as a critical risk management tool for escalating cyber threats. It examines methodologies, challenges, and emerging trends in cybersecurity insurance, bridging the gap between traditional risk management frameworks and cutting-edge technologies like AI and blockchain. This book covers topics such as artificial intelligence, security and privacy, and data science, and is a useful resource for business owners, computer engineers, security professionals, academicians, researchers, and scientists.

Edited by: Moatsum Alawida, Ammar Almomani, Mohammad Alauthman
Imprint: IGI Global
Country of Publication: United States [Currently unable to ship to USA: see Shipping Info]
Dimensions: Height: 254mm, Width: 178mm,
ISBN: 9798337319780
Pages: 528
Publication Date: 25 June 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Moatsum Alawida is an Assistant Professor of Cybersecurity at Abu Dhabi University. He earned his PhD in Computer Science with a specialization in Cybersecurity (Cryptography) from the School of Computer Sciences, Universiti Sains Malaysia, in 2020. He has published over 55 articles in high-impact factor journals. From 2021 to 2024, he was ranked among the top 2% of scientists worldwide. His research interests include cybersecurity, chaotic systems, chaos-based cryptography, multimedia security, blockchain, quantum-based cryptography, and traditional cryptography. Dr. Alawida has served as a referee for esteemed journals such as IEEE, Springer, Elsevier and others. He has also contributed to numerous conferences as a committee member, presenter, and organizer. Additionally, he has received multiple internal and external research grants. Prof. Ammar Almomani is a distinguished academic, researcher, and consultant with over two decades of combined experience in cybersecurity, artificial intelligence, and computer science. He holds a Ph.D. in Advanced Internet Security and Monitoring from Universiti Sains Malaysia (USM) and has taught more than 45 specialized courses in his field. As an Academic Staff Member in the School of IT at Al-Balqa Applied University (Jordan) and in the Bachelor of Cybersecurity Program at the Higher Colleges of Technology (HCT) in Sharjah (UAE), Prof. Almomani also consults on various AI and cybersecurity initiatives. He has secured multiple patents (eight in Germany and two in India) and has been recognized internationally for his research, with over 165 published articles—110 of which are indexed in Scopus. His work has earned him a UAE Golden Visa, and he has been named among the Top 2% of Global Influential Researchers by Stanford University and Scopus (2023–2024). Prof. Almomani’s leadership roles include serving as Head of the Research and Innovation Department and IT Department, contributing to curriculum development, program accreditation (including ABET and AACSB), and the establishment of specializations in both Jordan and the UAE. He actively supervises undergraduate and postgraduate research (MSc/Ph.D.) across multiple countries and has chaired numerous international conferences. With a strong publication record, extensive industry collaborations, and over 113,000 readers on ResearchGate, Prof. Almomani remains a driving force in advancing cybersecurity and AI. His editorial work is guided by a commitment to fostering robust academic discourse and pioneering technological innovation. Dr. Mohammad Alauthman (contacted at email: mohammad.alauthman@uop.edu.jo) is an associate professor and chair of the Information Security Department at the Faculty of Information Technology, University of Petra inAmman, Jordan. His research interests lie in network security, intrusion detection systems,and the application of artificial intelligence techniques like machine learning and deep learning for botnet detection, DDoS detection, spam email filtering, IoT security, and network traffic classification. He obtained his Ph.D. in computer science with a focus on network security from Northumbria University in the UK in 2016. Alauthman has been awarded several research grants in the field of network security, supporting his work on advanced intrusion detection systems and the development of AI-driven security solutions. These grants have enabled him to conduct extensive research and collaborate with international experts. His funded projects have focused on enhancing the resilience of network infrastructures against emerging threats and improving the accuracy of threat detection mechanisms.