Generative AI and Emerging Cyber Threats: Law, Security, and Risk Governance
$ 70
Description
Generative AI and Emerging Cyber Threats: Law, Security, and Risk Governance offers a comprehensive and timely examination of how generative artificial intelligence is reshaping the cyber threat landscape. As AI systems move from experimental tools to embedded components of governance, business, defense, and everyday life, they also empower malicious actors with unprecedented speed, scale, and sophistication. This book critically analyzes how generative AI operates as a force multiplier for cybercrime—enabling hyper-personalized phishing, automated malware creation, deepfake-driven fraud, prompt injection attacks, data poisoning, and large-scale unintentional data leakage. Moving beyond purely technical discussions, the book adopts an interdisciplinary approach that integrates cybersecurity, law, public policy, and risk governance. It traces the evolution of cyber threats from manual, human-driven operations to AI-assisted and AI-native attack ecosystems. In doing so, it demonstrates how traditional security controls and legal frameworks struggle to address automated, adaptive, and borderless AI-enabled threats. Each chapter systematically evaluates emerging attack vectors, their cross-sector implications, and the resulting erosion of trust, accountability, and institutional resilience in digital environments. A central strength of this work lies in its governance focus. It examines gaps in cybercrime statutes, jurisdictional fragmentation, liability ambiguities, and regulatory challenges surrounding dual-use AI technologies. Through sectoral analysis spanning finance, healthcare, national security, elections, and critical infrastructure, the book shows how generative AI risks transcend organizational boundaries and demand coordinated, policy-driven responses. The book concludes by advancing a forward-looking framework for risk mitigation that emphasizes secure-by-design AI development, organizational accountability, privacy-preserving safeguards, and adaptive regulatory models. Designed for scholars, policymakers, legal professionals, cybersecurity practitioners, and advanced students.