Understanding AI in Cybersecurity and Secure AI: Challenges,...

Description

Understanding AI in Cybersecurity and Secure AI: Challenges, Strategies and Trends.

This book provides a comprehensive introduction to the rapidly evolving fields of artificial intelligence and cybersecurity, exploring how modern AI technologies are transforming digital security while addressing the challenges of building secure and trustworthy AI systems.

Readers will gain an understanding of today’s cyber threat landscape and discover how AI can be applied across a wide range of cybersecurity disciplines. The book examines both the capabilities and limitations of AI-powered security solutions, while also presenting practical techniques for protecting machine learning models from adversarial attacks and other emerging threats.

The authors introduce the core concepts of artificial intelligence, covering the three primary categories of machine learning (ML) along with the latest advances in deep learning (DL). They also present practical AI security frameworks and explain how secure AI architectures can be designed to defend against evolving cyber risks.

Key topics covered include:

• Foundations of artificial intelligence and its role in modern cybersecurity.
• Machine learning and deep learning models for cyber defense.
• AI security frameworks and secure AI design principles.
• Network security, malware analysis, and common cyberattack techniques.
• Adversarial machine learning, including modern attack methods and defense strategies.
• Security challenges related to data quality, model customization, explainability, and computational efficiency.

The book also explores cybersecurity across multiple application domains, including:

• Smartphone and mobile application security.
• Web application security.
• Desktop application protection.
• Cloud computing security.
• Internet of Things (IoT) security and its unique challenges.

In addition, readers will examine the current limitations of AI in cybersecurity, emerging research directions, and the future of secure artificial intelligence. The discussion highlights practical considerations for developing resilient AI systems capable of defending against increasingly sophisticated cyber threats.

Designed for researchers, students, cybersecurity professionals, AI practitioners, and technology enthusiasts, this book offers a balanced blend of theory, current research, and practical insights into one of the fastest-growing areas of modern computing. Whether you’re interested in applying AI to cybersecurity or understanding how to secure AI itself, this guide provides a valuable foundation for navigating the future of intelligent cyber defense.