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Generative AI securitytheories and practices /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Generative AI securityedited by Ken Huang ... [et al.].
其他題名:	theories and practices /
其他作者:	Huang, Ken.
出版者:	Cham :Springer Nature Switzerland :2024.
面頁冊數:	xxxv, 338 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Artificial intelligenceSecurity measures.
電子資源:	https://doi.org/10.1007/978-3-031-54252-7
ISBN:	9783031542527$q(electronic bk.)

Generative AI securitytheories and practices /
Generative AI securitytheories and practices /[electronic resource] :edited by Ken Huang ... [et al.]. - Cham :Springer Nature Switzerland :2024. - xxxv, 338 p. :ill. (some col.), digital ;24 cm. - Future of business and finance,2662-2475. - Future of business and finance..

Foundations 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.

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.

ISBN: 9783031542527$q(electronic bk.)

Standard No.: 10.1007/978-3-031-54252-7doiSubjects--Topical Terms:

925009
Artificial intelligence
--Security measures.

LC Class. No.: Q335

Dewey Class. No.: 006.3

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520 $a 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.
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