GenAI Security Secure Chatbots and Agent Systems by Paul Zenker(.PDF)+
File Size: 10 MB
GenAI Security: Secure Chatbots and Agent Systems by Paul Zenker
Requirements: .ePUB, .PDF reader, 10 MB | True PDF, True EPUB
Overview: This book is an essential guide for anyone looking to build secure and resilient generative AI applications. It provides actionable insights into identifying vulnerabilities and preventing attacks. Authored by security expert Paul Zenker, this book explores the critical aspects of securing GenAI systems across their lifecycle – design, development and operation. Through numerous practical examples, detailed illustrations of threat scenarios and application architectures, readers will gain a comprehensive understanding of potential risks. Step-by-step instructions cover techniques such as prompt injections, jailbreaks and other attack vectors, equipping readers with the skills to anticipate and mitigate threats effectively. GenAI, especially large language models (LLMs), is currently making inroads into many areas of the economy and our lives. This is mainly due to their human language operation and flexible applicability. However, their ease of use should not obscure the complexity of these models and make us forget the new risks that GenAI brings with it. In this book, we will explore together the risks posed by this new technology and what needs to be done to secure GenAI applications and agent systems. I myself have spent some time examining GenAI applications and other IT systems for vulnerabilities and exploiting them. It is through this lens that I am writing this book, asking myself above all: “What could have prevented these vulnerabilities from existing?” This resource is ideal for developers, security professionals, AI researchers and organizations working with generative AI technologies. This book offers the tools and knowledge needed to create systems that can withstand sophisticated attacks in today’s high-stakes digital landscape.
Genre: Non-Fiction > Tech & Devices
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