AI-Driven Cybersecurity Insurance : Innovations in Risk, Governance, and Digital Resilience

AI-driven cybersecurity insurance represents a transformation of technology, risk management, and organizational governance. As cyber threats become more sophisticated, traditional models of cybersecurity struggle when handling the scale and complexity of online threats. AI offers tools for real-time threat detection, predictive analytics, and automated response, reshaping how insurers assess risk, price policies, and support resilience. The integration of AI into cybersecurity insurance raises questions about accountability, transparency, and ethical governance. Exploring these innovations may reveal new possibilities for protecting digital assets and the need for robust frameworks to ensure responsible and equitable usage of AI technologies. AI-Driven Cybersecurity Insurance: Innovations in Risk, Governance, and Digital Resilience explores the integration of intelligent technologies and cybersecurity into financial practices. It examines the use of AI-empowered cybersecurity for risk management, business governance, and digital solutions. This book covers topics such as fraud detection, supply chains, and metaverse, and is a useful resource for business owners, computer engineers, policymakers, academicians, researchers, and data 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 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.