Generative AI Security : Theories and Practices

edited by Ken Huang, Yang Wang, Ben Goertzel, Yale Li, Sean Wright, Jyoti Ponnapalli

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.

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Year of publication:	2024
Other Persons:	Huang, Ken (ed.) ; Wang, Yang (ed.) ; Goertzel, Ben (ed.) ; Li, Yale (ed.) ; Wright, Sean (ed.) ; Ponnapalli, Jyoti (ed.)
Publisher:	2024.: Cham : Springer Nature Switzerland 2024.: Cham : Imprint: Springer
Subject:	Generative AI \| Model Security \| AI Ethics \| Data Security \| GenAI Security \| DevSecOps \| Data Privacy \| GenAI Application Security \| GenAI \| ChatGPT \| Datensicherheit \| Data security \| Datenschutz \| Data protection \| Internationale Sicherheit \| International security

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Extent:	1 Online-Ressource (XXXV, 338 p. 44 illus., 34 illus. in color.)
Series:	Future of Business and Finance
Type of publication:	Book / Working Paper
Type of publication (narrower categories):	Aufsatzsammlung
Language:	English
ISBN:	978-3-031-54252-7 ; 978-3-031-54251-0 ; 978-3-031-54253-4 ; 978-3-031-54254-1
Other identifiers:	10.1007/978-3-031-54252-7 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://www.econbiz.de/10014512193