دانلود کتاب مدیریت ریسک سایبری مبتنی بر هوش مصنوعی

In today’s hyper-connected digital landscape, organizations increasingly rely on complex cyber systems, spanning cloud computing infrastructures, enterprise applications, financial platforms, and critical operational technologies, to sustain their business operations. While these advancements drive efficiency and innovation, they also expose organizations to an expanding spectrum of risks far beyond traditional security threats. System downtime, data breaches, ransomware attacks, and financial fraud can trigger severe operational, reputational, and financial consequences. In such an environment, conventional risk management practices are no longer sufficient. To effectively navigate these evolving challenges, enterprises must embrace intelligent, adaptive, and proactive strategies, powered by Artificial Intelligence. This book is designed as a comprehensive guide to how AI is transforming cyber risk management, equipping organizations with the knowledge and tools needed to anticipate, assess, and mitigate threats with unprecedented accuracy. By integrating AI with big data analytics and emerging technologies, businesses can move from reactive defense to predictive, real-time risk mitigation. Through this lens, the book explores the cutting-edge methodologies and frameworks that define the future of cybersecurity resilience. The content is organized to provide readers with both conceptual understanding and practical insights. It begins by laying the foundational principles of cyber risk management before examining the evolution of AI in cybersecurity, the role of big data in risk analytics, and the application of AI in threat intelligence, fraud detection, and automated incident response. Further chapters introduce AI-driven risk quantification models, intelligent mitigation strategies, and their integration into broader security ecosystems, including business continuity planning and disaster recovery frameworks. To bridge theory with practice, the book features industry-specific case studies demonstrating the tangible impact of AI across various sectors. In addition, forward-looking discussions address emerging technologies, such as the Internet of Things, blockchain, large language models, explainable AI, and advanced machine learning techniques, highlighting their transformative role in shaping the future of cyber risk management. This book is written for a diverse audience, including cybersecurity professionals, risk managers, technology leaders, researchers, and students, who seek to understand and apply AI-driven innovations to real-world cyber risk challenges. Combining technical depth with practical clarity, it offers readers a holistic perspective on both the opportunities and challenges of AI adoption in cybersecurity.