Ai driven cyber risk management (22 resultados)

Hardback or Cased Book. Condición: New. Cyber Forensics and Digital Security: AI-Driven Cybercrime Investigations and Risk Management. Book.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

Condición: New.

Hardback. Condición: New. 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 today's 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 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. 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. …

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

Condición: New.

Hardback. Condición: New. 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 today's 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 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. 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. …

Condición: New. Print on Demand.

Condición: New. Print on Demand.

Condición: New. PRINT ON DEMAND.

Buch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's hyperconnected world, where digital transformation accelerates at an unprecedented pace, the dark underbelly of cybercrime evolves just as rapidly. This comprehensive guide addresses the critical intersection of artificial intelligence, digital forensics, and cybersecurity, offering professionals a vital roadmap through the complex landscape of modern cyber threats.As organizations worldwide face increasingly sophisticated attacks - from AI-powered malware to blockchain-enabled fraud schemes - the traditional approaches to digital security are proving inadequate. This book rises to meet this challenge, presenting a forward-thinking framework that combines cutting-edge forensic techniques with advanced risk management strategies. It serves as both an educational resource and practical manual for cybersecurity specialists, forensic investigators, law enforcement personnel, and IT risk managers who must stay ahead of adversaries in this high-stakes digital arms race.The content systematically explores the full spectrum of contemporary cyber threats while providing actionable solutions rooted in real-world experience. Beginning with foundational concepts, the book progresses to advanced topics including machine learning applications in threat detection, blockchain forensic analysis, and the emerging field of predictive cybersecurity. Readers will gain expertise in critical areas such as incident response protocols, digital evidence preservation, cloud security forensics, and the legal considerations surrounding cyber investigations.What sets this work apart is its emphasis on the transformative role of artificial intelligence in both perpetrating and preventing cybercrime. Detailed case studies demonstrate how AI algorithms can analyze patterns in massive datasets to predict attacks, while also examining how cybercriminals weaponize these same technologies. The book provides hands-on guidance for implementing AI-driven security systems, with particular focus on anomaly detection, behavioral analytics, and automated threat response.For forensic professionals, specialized chapters cover the complete investigative process from crime scene documentation to courtroom testimony. Topics include memory forensics, network traffic analysis, mobile device examination, and countering anti-forensic techniques. The risk management sections offer proven methodologies for vulnerability assessment, security architecture design, and developing organizational cyber resilience.Recognizing that effective cybersecurity requires more than technical skills, the book also addresses human factors including social engineering defense, security awareness training, and building a culture of cyber vigilance. It concludes with forward-looking perspectives on quantum computing threats, IoT security challenges, and preparing for the next generation of digital risks.…

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

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

Buch. Condición: 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. Condición: 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.…