
AI-Enabled Cyber Threats: The Rise of Artificial Intelligence in Cybercrime
Author(s): Sandeep Dommari (Author)
- Publisher: Wiley-IEEE Press
- Publication Date: September 8, 2026
- Edition: 1st
- Language: English
- Print length: 288 pages
- ISBN-10: 1394416946
- ISBN-13: 9781394416943
Book Description
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.
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.
Editorial Reviews
Editorial Reviews
From the Back Cover
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.
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.
About the Author
SANDEEP DOMMARIis a recognized Cybersecurity, IAM, and AI leader with over 18 years of experience. Currently serving as a Principal Cybersecurity Architect, he designs scalable, secure digital ecosystems that protect millions globally.
Throughout his career across the public and private sectors, Sandeep has spearheaded large-scale IAM transformations and AI-driven threat detection initiatives. A passionate advocate for ethical AI and zero-trust security, he bridges cutting-edge technology with practical enterprise needs to develop proactive, resilient architectures.
His mission is to build secure, trusted digital environments that serve both business and society.
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