This study examines the impact of cognitive biases on assessing cybersecurity risks, using the concept Cyber Value at Risk (CVaR), within organizations. It explores how biases affect decision-making and risk perception, leading to protective actions. The paper discusses the use of AI for mitigating cybersecurity risks and the importance of enriched datasets for accurate AI/ML functioning, proposing strategies to differentiate between safe and at-risk cyber values and improve organizational security decisions.
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Vajpayee et al. (2024) studied this question.
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