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Integrating AI and Blockchain for Cybersecurity Insurance in Risk Management for Predictive Analytics in Insurance
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Author(s): J. Viji Gripsy (PSGR Krishnammal College for Women, India), R. Kowsalya (PSGR Krishnammal College for Women, India), T. Thendral (PSGR Krishnammal College for Women, India), A. SenthilKumar (Sri Ramakrishna College of Arts and Science, India), John T. Mesia Dhas (Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, India)and L. Sheeba (PSGR Krishnammal College for Women, India)
Copyright: 2026
Pages: 32
Source title:
Harnessing Data Science for Sustainable Insurance
Source Author(s)/Editor(s): Gagan Kukreja (College of Business Administration, University of Bahrain, Bahrain), Ayben Koy (Fenerbahçe University, Turkey), Pooja Kansra (Mittal School of Business, Lovely Professional University, India), Diksha Verma (Chandigarh Business School of Administration, Landran Mohali, India)and S.L. Gupta (Birla Institute of Technology, India)
DOI: 10.4018/979-8-3373-1882-0.ch013
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Abstract
Expanding more intelligent, secure, and open insurance structures has become necessary in response to the growing frequency and sophistication of cyber attacks. This chapter proposes an innovative multi-layer structure combining Artificial Intelligence (AI) and Blockchain technology to strengthen cybersecurity insurance systems. The proposed architecture includes anomaly scoring, real-time risk assessment, and claim processing based on smart contracts for automating insurance decisions. A comparison of proposed model's performance against baseline and conventional models shows better metrics: accuracy (96.4%), precision (95.2%), recall (94.7%), and F1 score (94.9%), with the best trust/audibility score (9.5/10). The model's capacity to deliver a trustworthy, verifiable, and advanced cyber insurance process justifies the compromise, even though the response time (142 milliseconds) is slightly higher than that of more basic models. This paper describes a novel approach to combining artificial intelligence and blockchain technology in predictive cybersecurity insurance systems.
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