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  <titleInfo>
    <title>AI-powered digital cyber resilience</title>
  </titleInfo>
  <name type="personal">
    <namePart>Santos, Omar</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  </name>
  <name type="personal">
    <namePart>Radanliev, Petar</namePart>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Hoboken</placeTerm>
    </place>
    <publisher>Addison-Wesley</publisher>
    <dateIssued>2025</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <extent>xxix, 360 p.</extent>
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  <abstract>"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</abstract>
  <note type="statement of responsibility">Omar Santos and Petar Radanliev</note>
  <note>Index present</note>
  <note>Eng</note>
  <subject>
    <topic>Computer security</topic>
  </subject>
  <subject>
    <topic>Cyber security</topic>
  </subject>
  <subject>
    <topic>Machine learning</topic>
  </subject>
  <classification authority="ddc">005.8 SAN-A</classification>
  <identifier type="isbn">9780135408605</identifier>
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