Isbn: 9798337352237 - ai-driven intrusion detection and prevention for business cybersecurity (14 risultati)

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Hardback. Condizione: New.

Hardback. Condizione: New.

Hardcover. Condizione: new. Hardcover. In today's rapidly evolving digital landscape, businesses face an increasing number of cyber threats that can compromise sensitive data and inflict significant financial damage. Traditional security measures often struggle to keep pace with these emerging risks, making it essential to adopt more intelligent, adaptive solutions. AI-driven intrusion detection and prevention systems represent a transformative approach to cybersecurity, leveraging machine learning and advanced analytics to detect and respond to threats in real time. By enabling faster and more accurate threat identification, these systems empower organizations to proactively defend their networks and safeguard critical assets in an ever-changing threat environment. AI-Driven Intrusion Detection and Prevention for Business Cybersecurity provides a comprehensive understanding of AI-based intrusion detection and prevention systems. It showcases case studies and practical frameworks for AI deployment and addresses current challenges in integrating AI with cybersecurity. Covering topics such as AI, cybersecurity, and business innovation, this book is an excellent resource for IT professionals, academicians, readers, cybersecurity experts, business executives, policymakers, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Hardcover. Condizione: new. Hardcover. In today's rapidly evolving digital landscape, businesses face an increasing number of cyber threats that can compromise sensitive data and inflict significant financial damage. Traditional security measures often struggle to keep pace with these emerging risks, making it essential to adopt more intelligent, adaptive solutions. AI-driven intrusion detection and prevention systems represent a transformative approach to cybersecurity, leveraging machine learning and advanced analytics to detect and respond to threats in real time. By enabling faster and more accurate threat identification, these systems empower organizations to proactively defend their networks and safeguard critical assets in an ever-changing threat environment. AI-Driven Intrusion Detection and Prevention for Business Cybersecurity provides a comprehensive understanding of AI-based intrusion detection and prevention systems. It showcases case studies and practical frameworks for AI deployment and addresses current challenges in integrating AI with cybersecurity. Covering topics such as AI, cybersecurity, and business innovation, this book is an excellent resource for IT professionals, academicians, readers, cybersecurity experts, business executives, policymakers, and more. 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. In today's rapidly evolving digital landscape, businesses face an increasing number of cyber threats that can compromise sensitive data and inflict significant financial damage. Traditional security measures often struggle to keep pace with these emerging risks, making it essential to adopt more intelligent, adaptive solutions. AI-driven intrusion detection and prevention systems represent a transformative approach to cybersecurity, leveraging machine learning and advanced analytics to detect and respond to threats in real time. By enabling faster and more accurate threat identification, these systems empower organizations to proactively defend their networks and safeguard critical assets in an ever-changing threat environment. AI-Driven Intrusion Detection and Prevention for Business Cybersecurity provides a comprehensive understanding of AI-based intrusion detection and prevention systems. It showcases case studies and practical frameworks for AI deployment and addresses current challenges in integrating AI with cybersecurity. Covering topics such as AI, cybersecurity, and business innovation, this book is an excellent resource for IT professionals, academicians, readers, cybersecurity experts, business executives, policymakers, and more. 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. AI-Driven Intrusion Detection and Prevention for Business Cybersecurity | Yasir Abdelgadir Mohamed (u. a.) | Buch | Englisch | 2026 | IGI GLOBAL SCIENTIFIC PUBLISHING | EAN 9798337352237 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In today's rapidly evolving digital landscape, businesses face an increasing number of cyber threats that can compromise sensitive data and inflict significant financial damage. Traditional security measures often struggle to keep pace with these emerging risks, making it essential to adopt more intelligent, adaptive solutions. AI-driven intrusion detection and prevention systems represent a transformative approach to cybersecurity, leveraging machine learning and advanced analytics to detect and respond to threats in real time. By enabling faster and more accurate threat identification, these systems empower organizations to proactively defend their networks and safeguard critical assets in an ever-changing threat environment. AI-Driven Intrusion Detection and Prevention for Business Cybersecurity provides a comprehensive understanding of AI-based intrusion detection and prevention systems. It showcases case studies and practical frameworks for AI deployment and addresses current challenges in integrating AI with cybersecurity. Covering topics such as AI, cybersecurity, and business innovation, this book is an excellent resource for IT professionals, academicians, readers, cybersecurity experts, business executives, policymakers, and more.…