Dynamic Exposure Monitoring and Catastrophe Loss Estimation: Real-Time AI Frameworks for Integrated Insurance Risk Management

Authors

  • Nigel Atkinson Associate Professor of Cybersecurity, Edith Cowan University

Keywords:

dynamic exposure monitoring, catastrophe loss estimation, real-time ai frameworks, integrated insurance risk management, machine learning

Abstract

Insurance risk management is significant for the industry to sustain profitability in the long run. Traditional assessment of risk is not effective due to changes in rules and regulations, changing scenarios, delayed outputs, and underwriting evidence. Technology is redefining traditional processes and strategies.

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Published

30-06-2025

How to Cite

[1]
“Dynamic Exposure Monitoring and Catastrophe Loss Estimation: Real-Time AI Frameworks for Integrated Insurance Risk Management”, IoT and Edge Comp. J, vol. 5, no. 1, pp. 20–28, Jun. 2025, Accessed: Jun. 05, 2026. [Online]. Available: https://thesciencebrigade.com/iotecj/article/view/743