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Generative AI Security Theories and Practices

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Generative AI Security Theories and Practices

Sách gia công, Bìa mềm
 
 
This 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.
 
 
Categories:Computers - Security
 
Year:2024
 
Publisher:Springer
 
Language:english
 
Pages:367
 

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