This book provides a comprehensive overview of the emerging threats posed by artificial intelligence in the field of cybersecurity.

It explores the scope and characteristics of AI-driven threats, detailing how they have evolved historically and the transformative impact they have on attack paradigms.

The book delves into core AI techniques used in cyberattacks, including machine learning, deep learning, and natural language processing, highlighting data requirements and vulnerabilities of AI models.

It covers a wide range of offensive tactics such as automated phishing, AI-generated malware, deepfakes, and sophisticated social engineering methods.

The discussion extends to advanced exploit development, evasive malware strategies, and the use of AI for network mapping and passive data collection.

Emphasis is placed on offensive and defensive cybersecurity strategies, including AI-powered threat hunting, detection methods, and the development of resilient security architectures.

Additionally, the book addresses ethical, legal, and regulatory issues surrounding the use of AI in cybersecurity, emphasizing responsible practices and future preparedness against next-generation AI attacks.

It is a valuable resource for understanding the balance between technological innovation and security, providing insights crucial for cybersecurity professionals, researchers, and policymakers aiming to navigate the evolving AI landscape responsibly.