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Mitigating Moral Hazard in Cyber Insurance Using Risk Preference Design

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arxiv 2203.12001 v1 pith:UQ73ER2L submitted 2022-03-22 cs.GT

classification cs.GT
keywords cyberinsurancehazardmoralpreferenceriskdesigninformation
verification ladder T0 review T1 audit T2 compute T3 formal
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Cyber insurance is a risk-sharing mechanism that can improve cyber-physical systems (CPS) security and resilience. The risk preference of the insured plays an important role in cyber insurance markets. With the advances in information technologies, it can be reshaped through nudging, marketing, or other types of information campaigns. In this paper, we propose a framework of risk preference design for a class of principal-agent cyber insurance problems. It creates an additional dimension of freedom for the insurer for designing incentive-compatible and welfare-maximizing cyber insurance contracts. Furthermore, this approach enables a quantitative approach to reduce the moral hazard that arises from information asymmetry between the insured and the insurer. We characterize the conditions under which the optimal contract is monotone in the outcome. This justifies the feasibility of linear contracts in practice. This work establishes a metric to quantify the intensity of moral hazard and create a theoretic underpinning for controlling moral hazard through risk preference design. We use a linear contract case study to show numerical results and demonstrate its role in strengthening CPS security.

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  1. AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation

    cs.AI 2026-07 conditional novelty 6.0 of 10

    A formal contract-design framework maps agentic-AI deployment characteristics to insurance premiums, deductibles, limits, and governance requirements, with insurability characterized as a region in risk-state space.

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