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AI-powered digital cyber resilience / Omar Santos and Petar Radanliev

By: Contributor(s): Material type: TextPublication details: Hoboken : Addison-Wesley, 2025Description: xxix, 360 pISBN:
  • 9780135408605
Subject(s): DDC classification:
  • 005.8 SAN-A
Summary: "Use AI to predict, prevent, and protect against the next cyber attack. This book delivers a practical framework for integrating artificial intelligence into modern cyber-defense architecture. As cyber threats escalate in speed, scale, and sophistication, conventional methods are no longer sufficient. This guide demonstrates how to apply AI technologies, including generative AI, large language models (LLMs), and small language models (SLMs), to enable predictive threat intelligence, automated incident response, and proactive digital resilience. Designed for security professional, analysts, engineers, executives, and researchers, the book bridges advanced AI methodologies with operational security strategies for enterprise systems, cloud infrastructures, and IoT environments"-- Back cover
Item type: Books
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Current library Call number Copy number Status Barcode
UMT Main Campus 005.8 SAN-A (Browse shelf(Opens below)) C.2 Available 153795
UMT Main Campus 005.8 SAN-A (Browse shelf(Opens below)) Available 153501

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"Use AI to predict, prevent, and protect against the next cyber attack. This book delivers a practical framework for integrating artificial intelligence into modern cyber-defense architecture. As cyber threats escalate in speed, scale, and sophistication, conventional methods are no longer sufficient. This guide demonstrates how to apply AI technologies, including generative AI, large language models (LLMs), and small language models (SLMs), to enable predictive threat intelligence, automated incident response, and proactive digital resilience. Designed for security professional, analysts, engineers, executives, and researchers, the book bridges advanced AI methodologies with operational security strategies for enterprise systems, cloud infrastructures, and IoT environments"-- Back cover

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