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020 _a9783031542527
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024 7 _a10.1007/978-3-031-54252-7
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245 1 0 _aGenerative AI Security
_h[electronic resource] :
_bTheories and Practices /
_cedited by Ken Huang, Yang Wang, Ben Goertzel, Yale Li, Sean Wright, Jyoti Ponnapalli.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXXXV, 338 p. 44 illus., 34 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
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490 1 _aFuture of Business and Finance,
_x2662-2475
505 0 _aFoundations of Generative AI -- Navigating the GenAI Security -- AI Regulations -- Build Your Security Program for GenAI -- GenAI Data Security -- GenAI Model Security -- GenAI Application Level Security -- From LLMOps to DevSecOps for GenAI -- Utilizing Prompt Engineering to Operationalize Cyber Security -- Use GenAI Tools to Boost Your Security Posture.
520 _aThis book explores the revolutionary intersection of Generative AI (GenAI) and cybersecurity. It presents a comprehensive guide that intertwines theories and practices, aiming to equip cybersecurity professionals, CISOs, AI researchers, developers, architects and college students with an understanding of GenAI’s profound impacts on cybersecurity. The scope of the book ranges from the foundations of GenAI, including underlying principles, advanced architectures, and cutting-edge research, to specific aspects of GenAI security such as data security, model security, application-level security, and the emerging fields of LLMOps and DevSecOps. It explores AI regulations around the globe, ethical considerations, the threat landscape, and privacy preservation. Further, it assesses the transformative potential of GenAI in reshaping the cybersecurity landscape, the ethical implications of using advanced models, and the innovative strategies required to secure GenAI applications. Lastly, the book presents an in-depth analysis of the security challenges and potential solutions specific to GenAI, and a forward-looking view of how it can redefine cybersecurity practices. By addressing these topics, it provides answers to questions on how to secure GenAI applications, as well as vital support with understanding and navigating the complex and ever-evolving regulatory environments, and how to build a resilient GenAI security program. The book offers actionable insights and hands-on resources for anyone engaged in the rapidly evolving world of GenAI and cybersecurity.
650 0 _aBusiness information services.
650 0 _aFinancial risk management.
_959046
650 0 _aData protection.
650 0 _aArtificial intelligence.
_958441
650 0 _aInformation technology
_xMoral and ethical aspects.
_964910
650 1 4 _aIT in Business.
650 2 4 _aRisk Management.
_959047
650 2 4 _aData and Information Security.
_966492
650 2 4 _aArtificial Intelligence.
_958441
650 2 4 _aInformation Ethics.
_968804
700 1 _aHuang, Ken.
_eeditor.
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700 1 _aWang, Yang.
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700 1 _aGoertzel, Ben.
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_974776
700 1 _aLi, Yale.
_eeditor.
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700 1 _aWright, Sean.
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700 1 _aPonnapalli, Jyoti.
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710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
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776 0 8 _iPrinted edition:
_z9783031542541
830 0 _aFuture of Business and Finance,
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-54252-7
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