Generative AI for Cybersecurity and Privacy
About this ebook
Spanning a series of expertly curated chapters, this volume delves into cutting-edge advancements and practical applications of generative AI in cybersecurity. It covers critical areas such as AI-driven threat detection and response, privacy-preserving AI models, secure IoT and cloud computing frameworks, and robust defenses for cyber-physical systems, including Smart Cities and wireless networks. The book balances rigorous theoretical foundations with real-world case studies, making it an essential resource for researchers, security professionals, policymakers, and organizational leaders.
The book offers comprehensive coverage of key topics, including:
• Leveraging generative AI for proactive threat detection, risk analysis, and automated incident response
• Innovative approaches to data privacy, compliance, and governance in AI-driven systems
• Advanced methodologies for securing IoT, mobile applications, and cloud infrastructures
• Practical frameworks for integrating generative AI into cybersecurity strategies for critical infrastructures
• Emerging applications of generative AI in personalized, secure digital experiences, such as e-commerce and smart systems
Authored by a global team of leading researchers and practitioners, this book stands out by not only addressing current cybersecurity and privacy challenges but also proposing forward-thinking, scalable solutions powered by generative AI. Unlike traditional resources, it emphasizes the transformative potential of AI in revolutionizing risk analysis, threat mitigation, and privacy preservation across multiple domains. Whether you’re navigating the complexities of IoT, cloud security, or emerging cyber threats, Generative AI for Cybersecurity and Privacy equips you with the knowledge and tools to build intelligent, secure, and future-ready strategies for a dynamic digital world.
