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...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| 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 |