Researchers from University of London Detail Findings in Information Technology (Risk Management for Cyber Insurance: a Survey for Data-driven Approaches With the Use of Ai): Information Technology

Disease Prevention Daily

2026 JUL 10 (NewsRx) -- By a News Reporter-Staff News Editor at Disease Prevention Daily -- Current study results on Information Technology have been published. According to news originating from London, United Kingdom, by NewsRx correspondents, research stated, “The cyber threat landscape is evolving with increasing sophistication, making robust risk management strategies essential. Cyber insurance has emerged as a key mechanism for organizations to transfer risk.”

Financial support for this research came from European Commission Joint Research Centre.

Our news journalists obtained a quote from the research from the University of London, “While not yet mandatory, recent regulatory trends are encouraging the adoption of multiple technologies, potentially paving the way for broader implementation. However, traditional cyber insurance underwriting still relies heavily on questionnaire-based risk assessments, lacking a truly data-driven approach. This gap has received limited attention in existing research. In this survey we examine data-driven methodologies for cyber insurance as a critical component of modern risk management. We systematically review the literature on data sources, data collection practices, risk calculation methods, and pricing strategies. Traditional actuarial approaches are analyzed and contrasted with emerging AI-enabled methods, including supervised learning models, predictive analytics, and simulation-based techniques that enhance the estimation of incident likelihood and severity. We identify key challenges, such as data quality, lack of standardization, constrained data sharing, and model interpretability, and outline opportunities for future work aimed at integrating empirical, automated analyses into underwriting and pricing workflows.”

According to the news editors, the research concluded: “Overall, this survey offers a structured overview of existing approaches and highlights directions for developing more data-driven and AI-supported approaches to cyber insurance risk management.”

This research has been peer-reviewed.

For more information on this research see: Risk Management for Cyber Insurance: a Survey for Data-driven Approaches With the Use of Ai. International Journal of Information Security, 2026;25(4). International Journal of Information Security can be contacted at: Springer, One New York Plaza, Suite 4600, New York, Ny, United States. (Springer - www.springer.com; International Journal of Information Security - http://www.springerlink.com/content/1615-5262/)

The news correspondents report that additional information may be obtained from Antonios Paragioudakis, University of London, City St Georges, London, United Kingdom. Additional authors for this research include Nikos Komninos, Christos Kloukinas, Michail Smyrlis and Georgios Spanoudakis.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1007/s10207-026-01275-5. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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