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portada AI-Driven Intrusion Detection and Prevention for Business Cybersecurity
Type
Physical Book
Year
2026
Language
English
Pages
448
Format
Hardcover
Dimensions
25.4x17.8x2.5 cm
ISBN13
9798337352237

AI-Driven Intrusion Detection and Prevention for Business Cybersecurity

Yasir Abdelgadir Mohamed;Akbar Khanan;Aisha Hassan Abdalla Hashim (Author) · IGI GLOBAL SCIENTIFIC PUBLISHING · Hardcover

AI-Driven Intrusion Detection and Prevention for Business Cybersecurity - Yasir Abdelgadir Mohamed;Akbar Khanan;Aisha Hassan Abdalla Hashim

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Synopsis "AI-Driven Intrusion Detection and Prevention for Business Cybersecurity"

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.

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The book is written in English.
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