Cybersecurity Insurance Frameworks and Innovations in the AI Era

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.

Professor Ammar Ali Almomani He is a Cybersecurity Based on AI, specialist with a Ph.D. Degree in advanced internet security and monitoring from Universiti Sains Malaysia (USM), 20 Years of Teaching and industrial experience, exposure to innovation and entrepreneurship. 6 years of management included around 3 years as Head of the Research and Innovation Department, - One of the Top 2% of Global Influential Researchers by Stanford University and the Scopus Index-2023-2024. - Consultant and Expert member in UAE Research Map (R&D) - I have an extensive publication record, with over 150 + articles published in reputable journals and conferences, most of them in Scopus Q1 and Q2 categories, 100 Scopus articles, Scopus citations=1950, H-index=22, and 10 patents published as Eight Germany and Two India granted patents. 4100 Citations on Google Scholar, with an H-index of 31. I-index= 68. - More than 20 articles, books, and conferences are under revision in 2024. worked in AL-Balqa Applied University -Jordan and Currently, working in the Computer Information Science (CIS) program, Bachelor of Cybersecurity, at Higher Colleges of Technology (HCT), Sharjah, UAE.

Mohammad Alauthman (mohammad.alauthman@uop.edu.jo) is an Associate Professor in the Information Security Department at the Faculty of Information Technology, University of Petra, Amman, Jordan. His research interests include network security, intrusion detection systems, and applying AI techniques--such as machine learning and deep learning--for botnet and DDoS detection, spam filtering, IoT security, and network traffic classification. He earned his Ph.D. in Computer Science from Northumbria University, UK, in 2016. Dr. Alauthman has received multiple research grants supporting advanced AI-driven intrusion detection systems and international collaboration. He is also actively involved in Erasmus+ projects, including BITTCOIN-JO (technology transfer), RL4Eng (remote engineering labs), Pro-GREEN LABs (green competences in education), and COMMO (mobility and cooperation across Mediterranean and Balkan institutions), contributing to innovation, sustainability, and cross-border academic development.