相關主題
商品描述
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.
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.
商品描述(中文翻譯)
這本書是任何希望建立安全且具韌性的生成式 AI 應用程式的必備指南。它提供了可行的見解，以識別漏洞和防止攻擊。
由安全專家 Paul Zenker 撰寫，本書探討了在生成式 AI 系統整個生命週期中確保安全的關鍵方面——設計、開發和運營。透過眾多實用範例、威脅情境和應用架構的詳細插圖，讀者將全面了解潛在風險。逐步指導涵蓋了如提示注入（prompt injections）、越獄（jailbreaks）及其他攻擊向量的技術，使讀者具備有效預測和減輕威脅的技能。
這本資源非常適合開發人員、安全專業人士、AI 研究人員以及與生成式 AI 技術合作的組織。本書提供了在當今高風險數位環境中創建能夠抵禦複雜攻擊的系統所需的工具和知識。
作者簡介
Paul Zenker is a security consultant and hacker by heart. He started his career at SAP in Pentesting and Red Teaming. With the recent advancements, he became very interested in AI Security from an attacker's perspective and gave many talks on that topic at international conferences. He now works for KPMG consulting clients in the financial sector about cybersecurity and AI security and safety.
作者簡介(中文翻譯)
保羅·岑克是一位安全顧問，內心深處是一名駭客。他的職業生涯始於SAP，專注於滲透測試和紅隊作業。隨著最近的技術進步，他對AI安全從攻擊者的角度產生了濃厚的興趣，並在國際會議上就此主題發表了許多演講。他目前在KPMG為金融業的客戶提供有關網絡安全和AI安全及安全性的諮詢服務。
