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大型语言模型安全开发人员手册:构建安全的人工智能应用程序

English | October 15th, 2024 | ISBN: 109816220X | 200 pages | True EPUB (Retail Copy) | 2.89 MB

Large language models (LLMs) are not just shaping the trajectory of AI, they're also unveiling a new era of security challenges. This practical book takes you straight to the heart of these threats. Author Steve Wilson, chief product officer at Exabeam, focuses exclusively on LLMs, eschewing generalized AI security to delve into the unique characteristics and vulnerabilities inherent in these models.

Complete with collective wisdom gained from the creation of the OWASP Top 10 for LLMs list—a feat accomplished by more than 400 industry experts—this guide delivers real-world guidance and practical strategies to help developers and security teams grapple with the realities of LLM applications. Whether you're architecting a new application or adding AI features to an existing one, this book is your go-to resource for mastering the security landscape of the next frontier in AI.

You'll learn • Why LLMs present unique security challenges • How to navigate the many risk conditions associated with using LLM technology • The threat landscape pertaining to LLMs and the critical trust boundaries that must be maintained • How to identify the top risks and vulnerabilities associated with LLMs • Methods for deploying defenses to protect against attacks on top vulnerabilities • Ways to actively manage critical trust boundaries on your systems to ensure secure execution and risk minimization

中文|2024年10月15日|ISBN:109816220X|200页|真实EPUB(零售版)|2.89 MB 大型语言模型(LLM)不仅塑造了人工智能的发展轨迹,还揭示了一个安全挑战的新时代。这本实用的书将带您直接了解这些威胁的核心。作者、Exabeam首席产品官Steve Wilson专注于LLM,避开了通用的人工智能安全,深入研究了这些模型中固有的独特特征和漏洞。 本指南汇集了400多名行业专家创建OWASP十大LLM列表所获得的集体智慧,提供了现实世界的指导和实用的策略,以帮助开发人员和安全团队应对LLM应用程序的现实。无论你是在构建一个新的应用程序,还是在现有的应用程序中添加人工智能功能,这本书都是你掌握人工智能下一个前沿安全领域的首选资源。 您将学习•为什么LLM会带来独特的安全挑战•如何应对与使用LLM技术相关的许多风险条件•与LLM相关的威胁环境和必须维护的关键信任边界•如何识别与LLM关联的最高风险和漏洞•部署防御措施以防对最高漏洞的攻击的方法•积极管理系统上关键信任边界以确保安全执行和风险最小化的方法
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