9788743808060 - AI-driven Cyber Risk Management (17 risultati)

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Hardcover. Condizione: Brand New. 540 pages. 9.18x6.12x9.21 inches. In Stock.

Condizione: New.

Hardcover. Condizione: new. Hardcover. 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. In todays digital landscape, businesses increasingly depend on complex cyber systems including cloud computing and data infrastructure, enterprise systems, financial and payment, and other operational systems, which make them susceptible to a wide range of risks beyond conventional security threats. Downtimes, system failures, data breaches, and cyber infrastructure outages can cause significant operational, reputational, and financial disruptions. To navigate these challenges, organizations must move beyond traditional risk management approaches and adopt AI-driven solutions for more proactive and intelligent cyber risk management. Structured around key aspects of AI-driven cyber risk management, the book begins with foundational principles before delving into the rise of AI in cyber risk management, the role of big data in risk analysis, and the application of AI in threat intelligence and fraud detection. Readers will explore AI-powered risk quantification models, automated mitigation strategies, and the integration of AI into cybersecurity infrastructure, business continuity planning, and disaster recovery. Industry-specific case studies offer real-world insights into AIs 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. Aimed at professionals, researchers, and students, this book balances technical depth with practical clarity, making it an essential guide for those seeking to bridge the gap between AI innovation and real-world cyber risk applications. By addressing both the potential and challenges of AI-driven solutions, it presents a forward-thinking strategy for building resilient, AI-powered cyber risk management frameworks. AI-driven Cyber Risk Management explores cutting-edge AI applications in cybersecurity, covering threat detection, fraud prevention, and risk quantification. The book examines machine learning, big data analytics, XAI, and blockchain integration for resilient defense. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Hardcover. Condizione: new. Hardcover. 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. In todays digital landscape, businesses increasingly depend on complex cyber systems including cloud computing and data infrastructure, enterprise systems, financial and payment, and other operational systems, which make them susceptible to a wide range of risks beyond conventional security threats. Downtimes, system failures, data breaches, and cyber infrastructure outages can cause significant operational, reputational, and financial disruptions. To navigate these challenges, organizations must move beyond traditional risk management approaches and adopt AI-driven solutions for more proactive and intelligent cyber risk management. Structured around key aspects of AI-driven cyber risk management, the book begins with foundational principles before delving into the rise of AI in cyber risk management, the role of big data in risk analysis, and the application of AI in threat intelligence and fraud detection. Readers will explore AI-powered risk quantification models, automated mitigation strategies, and the integration of AI into cybersecurity infrastructure, business continuity planning, and disaster recovery. Industry-specific case studies offer real-world insights into AIs 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. Aimed at professionals, researchers, and students, this book balances technical depth with practical clarity, making it an essential guide for those seeking to bridge the gap between AI innovation and real-world cyber risk applications. By addressing both the potential and challenges of AI-driven solutions, it presents a forward-thinking strategy for building resilient, AI-powered cyber risk management frameworks. AI-driven Cyber Risk Management explores cutting-edge AI applications in cybersecurity, covering threat detection, fraud prevention, and risk quantification. The book examines machine learning, big data analytics, XAI, and blockchain integration for resilient defense. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Hardcover. Condizione: new. Hardcover. 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. In todays digital landscape, businesses increasingly depend on complex cyber systems including cloud computing and data infrastructure, enterprise systems, financial and payment, and other operational systems, which make them susceptible to a wide range of risks beyond conventional security threats. Downtimes, system failures, data breaches, and cyber infrastructure outages can cause significant operational, reputational, and financial disruptions. To navigate these challenges, organizations must move beyond traditional risk management approaches and adopt AI-driven solutions for more proactive and intelligent cyber risk management. Structured around key aspects of AI-driven cyber risk management, the book begins with foundational principles before delving into the rise of AI in cyber risk management, the role of big data in risk analysis, and the application of AI in threat intelligence and fraud detection. Readers will explore AI-powered risk quantification models, automated mitigation strategies, and the integration of AI into cybersecurity infrastructure, business continuity planning, and disaster recovery. Industry-specific case studies offer real-world insights into AIs 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. Aimed at professionals, researchers, and students, this book balances technical depth with practical clarity, making it an essential guide for those seeking to bridge the gap between AI innovation and real-world cyber risk applications. By addressing both the potential and challenges of AI-driven solutions, it presents a forward-thinking strategy for building resilient, AI-powered cyber risk management frameworks. AI-driven Cyber Risk Management explores cutting-edge AI applications in cybersecurity, covering threat detection, fraud prevention, and risk quantification. The book examines machine learning, big data analytics, XAI, and blockchain integration for resilient defense. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - AI-driven Cyber Risk Management explores cutting-edge AI applications in cybersecurity, covering threat detection, fraud prevention, and risk quantification. The book examines machine learning, big data analytics, XAI, and blockchain integration for resilient defense.

Buch. Condizione: Neu. AI-driven Cyber Risk Management | Hooman Razavi (u. a.) | Buch | Einband - fest (Hardcover) | Englisch | 2026 | River Publishers | EAN 9788743808060 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.