Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Singh, Bhupinder; Arora, Manmeet Kaur Kaur; Srivastava, Namit Kumar; Chandra, Saurabh; Sonkla, Thanarat; Bag, Akash; Goswami, Avinash Krishna Title A name given to the resource Emerging Trends and Innovations in Cybersecurity Insurance Policy Customization Using Generative AI Fraud Detection Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived AI-Driven Cybersecurity Insurance: Innovations in Risk, Governance, and Digital Resilience;pp.151-167 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-5545-0.ch006" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-5545-0.ch006</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018070739?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018070739?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh B., Sharda University, India; Arora M.K.K., Sharda University, India; Srivastava N.K., School of Law, Christ University, Bangalore, India; Chandra S., Bennett University, Greater Noida, India; Sonkla T., Royal Thai Police, Thailand; Bag A., Adamas University, India; Goswami A.K., School of Law, Sharda University, India Description An account of the resource Generative AI is transforming policy customization and fraud detection. Cybersecurity insurance can be both a boon and a bane as the existing models for underwriting and assessment are relatively static in a world which is witnessing a constant escalation between attack and defense mechanisms. By assessing huge datasets, spotting emerging pattern and predicting potential vulnerabilities in real time, generative AI introduces dynamic risk modeling. Help insurers design hyperpersonalized cyber insurance products that are tailored to specific business profiles, operational risks and exposure levels to enhance coverage and premium accuracy. Generative AI helps in anomaly detection and identifying suspicious behaviour in insurance claims in fraud detection domain. Using legitimate claims scenarios to train AI model, fraud detection models can detect anomalies and fraud as never before. The intersection of expertise in cybersecurity, AI development and insurance will be key to creating strong,flexible and transparent insurance structures that can respond to the intricacies of today's cyber threats. 2026, IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833735547-4; 979-836937743-7; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online