Cyber Risk Assessment for Capital Management
Wing Fung Chong, Runhuan Feng, Hins Hu, Linfeng Zhang

TL;DR
This paper proposes a comprehensive two-pillar framework for cyber risk assessment and capital management, integrating risk modeling with strategic capital allocation to improve cybersecurity investments and insurance strategies.
Contribution
It introduces an innovative two-pillar framework combining risk assessment models with capital management strategies for cyber risk, supported by a practical case study.
Findings
Effective cyber risk management requires integrated assessment and capital strategies.
Sensitivity analysis shows the impact of control costs and effectiveness on optimal strategies.
Case study demonstrates the framework's applicability across diverse companies.
Abstract
This paper introduces a two-pillar cyber risk management framework to address the pervasive challenges in managing cyber risk. The first pillar, cyber risk assessment, combines insurance frequency-severity models with cybersecurity cascade models to capture the unique nature of cyber risk. The second pillar, cyber capital management, facilitates informed allocation of capital for a balanced cyber risk management strategy, including cybersecurity investments, insurance coverage, and reserves. A case study, based on historical cyber incident data and realistic assumptions, demonstrates the necessity of comprehensive cost-benefit analysis for budget-constrained companies with competing objectives in cyber risk management. In addition, sensitivity analysis highlights the dependence of the optimal strategy on factors such as the price of cybersecurity controls and their effectiveness. The…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInformation and Cyber Security · Scientific Computing and Data Management · Big Data and Business Intelligence
