Название: AI-Enabled Cyber Threats: The Rise of Artificial Intelligence in Cybercrime
Автор: Sandeep Dommari
Издательство: Wiley-IEEE Press
Год: 2026
Страниц: 290
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Understand AI-driven cyberattacks and build effective defensive strategies against them.

Artificial intelligence is increasingly used to automate, enhance, and evolve cyberattacks, yet most existing resources address AI only as a defensive tool. AI-Enabled Cyber Threats: The Rise of Artificial Intelligence in Cybercrime delivers a full-spectrum analysis of AI’s dual role in cybersecurity, covering offensive techniques, adversarial AI methods, and countermeasures from technical, ethical, and societal perspectives for professional and academic audiences.

AI-Enabled Cyber Threats balances theoretical foundations with actionable defensive strategies. It examines the sophisticated methods malicious actors employ using AI, from autonomous AI hackers to AI-powered nation-state warfare. The book addresses the dual-use nature of AI technologies, equipping readers to design stronger defenses, understand adversarial AI techniques, and lead security innovations responsibly in an AI-dominant threat landscape.

I acknowledge the open-source community and the developers of Machine Learning frameworks, including TensorFlow, PyTorch, and Scikit-learn, whose tools enable both research and practical implementation of AI security systems.

The book also provides:

Analysis of how AI automates and evolves cyberattack methodologies, including practical threat examples drawn from real-world offensive scenarios
Defensive frameworks and countermeasures developed by security professionals and institutions to mitigate AI-driven threats across organizations
Coverage of ethical considerations and societal impacts arising from the weaponization of artificial intelligence in cybercrime
Future-facing insights on emerging risks including autonomous AI hackers and AI-powered nation-state cyber warfare campaigns
Guidance for building proactive, adaptive cybersecurity strategies that anticipate threats rather than relying on traditional reactive approaches

Designed for cybersecurity professionals, AI researchers, and graduate students studying adversarial Machine Learning or cybercrime and digital forensics, this book provides the technical depth and strategic perspective needed to understand and counter AI-driven threats. Risk managers and compliance professionals will also find useful frameworks for organizational defense.

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