Threat Intelligence Cloud Trust (19 results)

Taschenbuch. Condition: Neu. Neuware - AI for Cybersecurity is a sweeping, authoritative exploration of how artificial intelligence is transforming the digital battlefield. From malware detection and ransomware defense to Zero Trust architecture, cloud security, ethical hacking, national cyber defense, and the coming quantum era, Milton Rothbard reveals how AI has become the most powerful force multiplier in modern cyber protection.Across twenty-five chapters, the book traces the evolution of cyber threats, the collapse of traditional perimeters, and the rise of intelligent systems capable of analyzing billions of events, predicting attacks before they occur, and strengthening resilience across governments, businesses, critical infrastructure, and everyday life. Rothbard shows how machine learning identifies anomalies invisible to human analysts, how AI accelerates incident response, how behavioral analytics expose insider threats, and how autonomous defense is reshaping the future of digital security.Yet the book never loses sight of its central truth: AI does not replace human judgment-it amplifies it. Cybersecurity remains a human responsibility grounded in ethics, leadership, and continuous learning. Rothbard argues that trust-not technology-is the true foundation of a secure digital society, and that the partnership between human expertise and intelligent systems will define the future of national security, global stability, and digital civilization itself.AI for Cybersecurity is both a technical roadmap and a philosophical reflection on the responsibilities that accompany powerful technologies. It is essential reading for cybersecurity professionals, business leaders, policymakers, educators, and anyone seeking to understand the invisible war shaping the twenty-first century.The digital battlefield has no borders-and artificial intelligence is rewriting the rules of cyber defense. In AI for Cybersecurity, bestselling author Milton Rothbard delivers a definitive, accessible, and deeply compelling guide to how AI is transforming threat detection, cloud security, identity protection, critical infrastructure defense, cyber warfare, and the future of digital trust.Readers will discover how intelligent systems detect malware in seconds, expose insider threats through behavioral analytics, predict ransomware before it spreads, secure global cloud environments, strengthen national cyber defense, and prepare organizations for the coming quantum revolution. Rothbard reveals the escalating arms race between attackers and defenders-and why the winners will be those who combine human judgment with machine intelligence.Packed with real-world insights, strategic frameworks, and forward-looking analysis, AI for Cybersecurity is the essential handbook for leaders navigating an increasingly hostile digital world. It is not just about protecting networks-it is about protecting civilization itself.A powerful, timely, and indispensable guide to the future of digital security.…

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

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

Paperback. Condition: new. Paperback. As healthcare systems utilize cloud technologies to manage patient data, integrating cybersecurity becomes urgent. Threat intelligence and cloud trust models are vital in safeguarding healthcare infrastructures against evolving cyber threats, data breaches, and compliance risks. By using real-time threat detection, risk assessment frameworks, and trust-based access controls, healthcare organizations can enhance their resilience while maintaining confidentiality, integrity, and availability of medical information. Further exploration into the integration of threat intelligence with cloud trust models may create a more secure and trustworthy digital environment for modern healthcare delivery. Threat Intelligence and Cloud Trust Models for Healthcare Security explores the landscape of healthcare systems powered by the Internet of Things (IoT). It examines the emerging security threats targeting healthcare IoT (HIoT) infrastructure and proposes intelligent threat detection frameworks and trust models tailored for secure cloud integration. This book covers topics such as machine learning, data science, and cloud computing, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and data scientists. "This book explores and addresses the critical challenges surrounding the security and trustworthiness of healthcare systems empowered by IoT and cloud technologies"-- Provided by publisher. 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. Condition: new. Hardcover. As healthcare systems utilize cloud technologies to manage patient data, integrating cybersecurity becomes urgent. Threat intelligence and cloud trust models are vital in safeguarding healthcare infrastructures against evolving cyber threats, data breaches, and compliance risks. By using real-time threat detection, risk assessment frameworks, and trust-based access controls, healthcare organizations can enhance their resilience while maintaining confidentiality, integrity, and availability of medical information. Further exploration into the integration of threat intelligence with cloud trust models may create a more secure and trustworthy digital environment for modern healthcare delivery. Threat Intelligence and Cloud Trust Models for Healthcare Security explores the landscape of healthcare systems powered by the Internet of Things (IoT). It examines the emerging security threats targeting healthcare IoT (HIoT) infrastructure and proposes intelligent threat detection frameworks and trust models tailored for secure cloud integration. This book covers topics such as machine learning, data science, and cloud computing, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and data scientists. "This book explores and addresses the critical challenges surrounding the security and trustworthiness of healthcare systems empowered by IoT and cloud technologies"-- Provided by publisher. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As healthcare systems utilize cloud technologies to manage patient data, integrating cybersecurity becomes urgent. Threat intelligence and cloud trust models are vital in safeguarding healthcare infrastructures against evolving cyber threats, data breaches, and compliance risks. By using real-time threat detection, risk assessment frameworks, and trust-based access controls, healthcare organizations can enhance their resilience while maintaining confidentiality, integrity, and availability of medical information. Further exploration into the integration of threat intelligence with cloud trust models may create a more secure and trustworthy digital environment for modern healthcare delivery. Threat Intelligence and Cloud Trust Models for Healthcare Security explores the landscape of healthcare systems powered by the Internet of Things (IoT). It examines the emerging security threats targeting healthcare IoT (HIoT) infrastructure and proposes intelligent threat detection frameworks and trust models tailored for secure cloud integration. This book covers topics such as machine learning, data science, and cloud computing, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and data scientists.…

Taschenbuch. Condition: Neu. Threat Intelligence and Cloud Trust Models for Healthcare Security | Chin-Shiuh Shieh (u. a.) | Taschenbuch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337349190 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Buch. Condition: Neu. Threat Intelligence and Cloud Trust Models for Healthcare Security | Chin-Shiuh Shieh (u. a.) | Buch | Englisch | 2025 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337349183 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…

Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As healthcare systems utilize cloud technologies to manage patient data, integrating cybersecurity becomes urgent. Threat intelligence and cloud trust models are vital in safeguarding healthcare infrastructures against evolving cyber threats, data breaches, and compliance risks. By using real-time threat detection, risk assessment frameworks, and trust-based access controls, healthcare organizations can enhance their resilience while maintaining confidentiality, integrity, and availability of medical information. Further exploration into the integration of threat intelligence with cloud trust models may create a more secure and trustworthy digital environment for modern healthcare delivery. Threat Intelligence and Cloud Trust Models for Healthcare Security explores the landscape of healthcare systems powered by the Internet of Things (IoT). It examines the emerging security threats targeting healthcare IoT (HIoT) infrastructure and proposes intelligent threat detection frameworks and trust models tailored for secure cloud integration. This book covers topics such as machine learning, data science, and cloud computing, and is a useful resource for medical and healthcare professionals, engineers, academicians, researchers, and data scientists.…

Condition: New. PRINT ON DEMAND.