Emerging Trends and Innovations in Cybersecurity Insurance Policy Customization Using Generative AI Fraud Detection
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.
Singh, Bhupinder; Arora, Manmeet Kaur Kaur; Srivastava, Namit Kumar; Chandra, Saurabh; Sonkla, Thanarat; Bag, Akash; Goswami, Avinash Krishna
AI-Driven Cybersecurity Insurance: Innovations in Risk, Governance, and Digital Resilience;pp.151-167
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https://doi.org/10.4018/979-8-3373-5545-0.ch006 https://www.scopus.com/pages/publications/105018070739?origin=resultslist
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