Articles liés à Demystifying AI and ML for Cyber-Threat Intelligence
Synopsis
This book simplifies complex AI and ML concepts, making them accessible to security analysts, IT professionals, researchers, and decision-makers. Cyber threats have become increasingly sophisticated in the ever-evolving digital landscape, making traditional security measures insufficient to combat modern attacks. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cybersecurity, enabling organizations to detect, prevent, and respond to threats with greater efficiency. This book is a comprehensive guide, bridging the gap between cybersecurity and AI/ML by offering clear, practical insights into their role in threat intelligence. Readers will gain a solid foundation in key AI and ML principles, including supervised and unsupervised learning, deep learning, and natural language processing (NLP) while exploring real-world applications such as intrusion detection, malware analysis, and fraud prevention. Through hands-on insights, case studies, and implementation strategies, it provides actionable knowledge for integrating AI-driven threat intelligence into security operations. Additionally, it examines emerging trends, ethical considerations, and the evolving role of AI in cybersecurity. Unlike overly technical manuals, this book balances theoretical concepts with practical applications, breaking down complex algorithms into actionable insights. Whether a seasoned professional or a beginner, readers will find this book an essential roadmap to navigating the future of cybersecurity in an AI-driven world. This book empowers its audience to stay ahead of cyber adversaries and embrace the next generation of intelligent threat detection.
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Demystifying AI and ML for Cyber-Threat Intelligence (eng)
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Demystifying AI and ML for Cyberâ"Threat Intelligence
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Demystifying AI and ML for Cyber-Threat Intelligence
Edité par
Springer, Berlin, Springer Nature Switzerland, Springer, 2025
ISBN 10 : 3031907221
ISBN 13 : 9783031907227
Neuf
Couverture rigide
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book simplifies complex AI and ML concepts, making them accessible to security analysts, IT professionals, researchers, and decision-makers. Cyber threats have become increasingly sophisticated in the ever-evolving digital landscape, making traditional security measures insufficient to combat modern attacks. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cybersecurity, enabling organizations to detect, prevent, and respond to threats with greater efficiency. This book is a comprehensive guide, bridging the gap between cybersecurity and AI/ML by offering clear, practical insights into their role in threat intelligence. Readers will gain a solid foundation in key AI and ML principles, including supervised and unsupervised learning, deep learning, and natural language processing (NLP) while exploring real-world applications such as intrusion detection, malware analysis, and fraud prevention. Through hands-on insights, case studies, and implementation strategies, it provides actionable knowledge for integrating AI-driven threat intelligence into security operations. Additionally, it examines emerging trends, ethical considerations, and the evolving role of AI in cybersecurity. Unlike overly technical manuals, this book balances theoretical concepts with practical applications, breaking down complex algorithms into actionable insights. Whether a seasoned professional or a beginner, readers will find this book an essential roadmap to navigating the future of cybersecurity in an AI-driven world. This book empowers its audience to stay ahead of cyber adversaries and embrace the next generation of intelligent threat detection. 628 pp. Englisch. N° de réf. du vendeur 9783031907227
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Demystifying AI and ML for Cyber-Threat Intelligence
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Demystifying AI and ML for Cyber-Threat Intelligence
Edité par
Springer, 2025
ISBN 10 : 3031907221
ISBN 13 : 9783031907227
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
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Demystifying AI and ML for Cyber-Threat Intelligence
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Demystifying AI and ML for Cyber-Threat Intelligence
Edité par
Springer, 2025
ISBN 10 : 3031907221
ISBN 13 : 9783031907227
Ancien ou d'occasion
Couverture rigide
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 50991526
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Demystifying AI and ML for Cyber-Threat Intelligence
Edité par
Springer, Springer Aug 2025, 2025
ISBN 10 : 3031907221
ISBN 13 : 9783031907227
Neuf
Couverture rigide
Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book simplifies complex AI and ML concepts, making them accessible to security analysts, IT professionals, researchers, and decision-makers. Cyber threats have become increasingly sophisticated in the ever-evolving digital landscape, making traditional security measures insufficient to combat modern attacks. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cybersecurity, enabling organizations to detect, prevent, and respond to threats with greater efficiency. This book is a comprehensive guide, bridging the gap between cybersecurity and AI/ML by offering clear, practical insights into their role in threat intelligence. Readers will gain a solid foundation in key AI and ML principles, including supervised and unsupervised learning, deep learning, and natural language processing (NLP) while exploring real-world applications such as intrusion detection, malware analysis, and fraud prevention. Through hands-on insights, case studies, and implementation strategies, it provides actionable knowledge for integrating AI-driven threat intelligence into security operations. Additionally, it examines emerging trends, ethical considerations, and the evolving role of AI in cybersecurity. Unlike overly technical manuals, this book balances theoretical concepts with practical applications, breaking down complex algorithms into actionable insights. Whether a seasoned professional or a beginner, readers will find this book an essential roadmap to navigating the future of cybersecurity in an AI-driven world. This book empowers its audience to stay ahead of cyber adversaries and embrace the next generation of intelligent threat detection.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 640 pp. Englisch. N° de réf. du vendeur 9783031907227
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Demystifying AI and ML for CyberThreat Intelligence (Hardcover)
Edité par
Springer International Publishing AG, Cham, 2025
ISBN 10 : 3031907221
ISBN 13 : 9783031907227
Neuf
Couverture rigide
Vendeur : CitiRetail, Stevenage, Royaume-Uni
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Hardcover. Etat : new. Hardcover. This book simplifies complex AI and ML concepts, making them accessible to security analysts, IT professionals, researchers, and decision-makers. Cyber threats have become increasingly sophisticated in the ever-evolving digital landscape, making traditional security measures insufficient to combat modern attacks. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cybersecurity, enabling organizations to detect, prevent, and respond to threats with greater efficiency. This book is a comprehensive guide, bridging the gap between cybersecurity and AI/ML by offering clear, practical insights into their role in threat intelligence. Readers will gain a solid foundation in key AI and ML principles, including supervised and unsupervised learning, deep learning, and natural language processing (NLP) while exploring real-world applications such as intrusion detection, malware analysis, and fraud prevention. Through hands-on insights, case studies, and implementation strategies, it provides actionable knowledge for integrating AI-driven threat intelligence into security operations. Additionally, it examines emerging trends, ethical considerations, and the evolving role of AI in cybersecurity. Unlike overly technical manuals, this book balances theoretical concepts with practical applications, breaking down complex algorithms into actionable insights. Whether a seasoned professional or a beginner, readers will find this book an essential roadmap to navigating the future of cybersecurity in an AI-driven world. This book empowers its audience to stay ahead of cyber adversaries and embrace the next generation of intelligent threat detection. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cybersecurity, enabling organizations to detect, prevent, and respond to threats with greater efficiency. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9783031907227
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Demystifying AI and ML for Cyber-Threat Intelligence
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This book simplifies complex AI and ML concepts, making them accessible to security analysts, IT professionals, researchers, and decision-makers. Cyber threats have become increasingly sophisticated in the ever-evolving digital landscape, making traditional security measures insufficient to combat modern attacks. Artificial intelligence (AI) and machine learning (ML) have emerged as transformative tools in cybersecurity, enabling organizations to detect, prevent, and respond to threats with greater efficiency. This book is a comprehensive guide, bridging the gap between cybersecurity and AI/ML by offering clear, practical insights into their role in threat intelligence. Readers will gain a solid foundation in key AI and ML principles, including supervised and unsupervised learning, deep learning, and natural language processing (NLP) while exploring real-world applications such as intrusion detection, malware analysis, and fraud prevention. Through hands-on insights, case studies, and implementation strategies, it provides actionable knowledge for integrating AI-driven threat intelligence into security operations. Additionally, it examines emerging trends, ethical considerations, and the evolving role of AI in cybersecurity. Unlike overly technical manuals, this book balances theoretical concepts with practical applications, breaking down complex algorithms into actionable insights. Whether a seasoned professional or a beginner, readers will find this book an essential roadmap to navigating the future of cybersecurity in an AI-driven world. This book empowers its audience to stay ahead of cyber adversaries and embrace the next generation of intelligent threat detection. N° de réf. du vendeur 9783031907227
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