Название: AI-driven Cyber Risk Management
Автор: Hooman Razavi, Muriel Figueredo Franco, Mariya Ouaissa, Mariyam Ouaissa, Gautam Srivastava
Издательство: River Publishers
Серия: River Publishers Series in Digital Security and Forensics
Год: 2026
Страниц: 540
Язык: английский
Формат: pdf (true), epub
Размер: 37.0 MB
This book provides a comprehensive exploration of how artificial intelligence (AI) is revolutionizing cyber risk management, offering advanced methodologies to identify, assess, quantify, and mitigate threats effectively. Through the integration of AI, big data analytics, and emerging technologies, this book presents cutting-edge approaches to addressing cyber risks. Readers will gain insights into how AI enhances threat detection, fraud prevention, risk quantification, and incident response, equipping businesses to anticipate, measure, and mitigate cyber disruptions with greater precision. Industry-specific case studies offer real-world insights into AI’s impact across different sectors, while discussions on emerging technologies, such as IoT, blockchain, large language models, advanced machine learning, and explainable AI, highlight the future trajectory of AI in cyber risk management.