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Intelligent and autonomous technologies reshape the cyber threat landscape, introducing new adversaries capable of sophisticated attacks with minimal human intervention. Autonomous cyber threats adapt in real time, identify vulnerabilities, evade traditional security controls, and execute large-scale operations at increased speed and scale. As organizations become dependent on digital infrastructures, these risks challenge traditional approaches to cybersecurity and risk management. The cyber insurance industry faces pressure to reassess how cyber risks are evaluated, priced, and mitigated. Understanding the implications of autonomous adversaries may develop innovative cyber insurance frameworks that address emerging threats, promote resilience, and support organizations. Autonomous Adversaries and the Future of Cyber Insurance explores how the emergence of autonomous cyber threats transforms the nature of cyber risk and challenges traditional cybersecurity and insurance models. It examines the implications of these intelligent adversaries for cyber insurance practices, including risk assessment, policy design, pricing strategies, liability considerations, and the development of resilient risk management frameworks. This book covers topics such as cybersecurity, risk management, and data science, and is a useful resource for business owners, security professionals, engineers, academicians, researchers, and scientists.
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