AI-Native LLM Security : :: SCD d'Orléans

AI-Native LLM Security : Threats, defenses, and best practices for building safe and trustworthy AI

AI-Native LLM Security : Threats, defenses, and best practices for building safe and trustworthy AI

Unlock the secrets to safeguarding AI by exploring the top risks, essential frameworks, and cutting-edge strategies-featuring the OWASP Top 10 for LLM Applications and Generative AI. Key Features: Understand adversarial AI attacks to strengthen your AI security posture effectively; Leverage insights...

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Bibliografiske detaljer
Auteurs principaux:	Malik, Vaibhav, Huang, Ken (Auteur), Dawson, Ads (Auteur)
Format:	Livre numérique
Sprog:	Anglais
Udgivet:	Birmingham : Packt Publishing 2025. Paris : Cyberlibris
Online adgang:	Accès Université d'Orléans et IFPM
Kommentar:	Couverture. https://static2.cyberlibris.com/books_upload/300pix/9781836203742.jpg Cyberlibris (ScholarVox) corpus Informatique
Autres localisations:	Voir dans le Sudoc
Edition sous un autre format:	• AI-Native LLM Security, Threats, defenses, and best practices for building safe and trustworthy AI, Vaibhav Malik, Ken Huang, Ads Dawson, Birmingham, Packt Publishing, 2025, 1 vol. (416 p.), 978-18-3620-375-9

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