Name: Generative AI Security. Theories and Practices
Price: 133226.00 ARS
Availability: InStock
Author: Ben Goertzel;Yang Wang;Yale Li;Sean Wright;Ken Huang;Jyoti Ponnapalli
ISBN: 9783031542541

portada Generative AI Security. Theories and Practices

Generative AI Security. Theories and Practices

Formato

Libro Físico

Editorial

Springer International Publishing AG

Autor

Ben Goertzel;Yang Wang;Yale Li;Sean Wright;Ken Huang;Jyoti Ponnapalli

Colección

Future of Business and Finance

Año

2025

N° páginas

338

Encuadernación

Tapa Blanda

Dimensiones

23.50 x 15.50 cm

ISBN13

9783031542541

Generative AI Security. Theories and Practices

Ben Goertzel;Yang Wang;Yale Li;Sean Wright;Ken Huang;Jyoti Ponnapalli (Autor) · Springer International Publishing AG · Tapa Blanda

Libro Nuevo Importado

Envío: 23 a 29 días háb.

$ 266.452$ 133.226

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan 100 unidades

$ 133.226

Llega entre el 24 Jul y el 03 Ago a C.A.B.A., Ciudad Autónoma de Buenos Aires. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Generative AI Security. Theories and Practices"

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.