GenAI Cybersecurity Solutions: OWASP Top 10 for LLM Apps

所在平台: Udemy

课程主页: https://www.udemy.com/course/genai-cybersecurity-solutions-i/

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Coursera 课程总结:生成式AI网络安全解决方案:LLM应用的OWASP Top 10 本课程面向网络安全专业人士、AI爱好者以及组织领导者,旨在教授如何保护生成式AI系统免受新型威胁和漏洞的侵害。课程将深入探讨生成式AI的安全原理、实践和防护措施,重点关注LLM(大语言模型)应用的OWASP Top 10安全风险。 **核心内容包括:** * **生成式AI基础与安全重要性:** 介绍生成式AI的工作原理、LLM的作用以及为何保障其安全性至关重要。 * **AI安全威胁与漏洞:** 详细剖析生成式AI系统面临的潜在威胁,包括恶意使用、组件漏洞等。 * **LLM内部机制:** 讲解LLM及AI模型的内部工作原理,为理解其安全隐患奠定基础。 * **实践实验室体验:** 提供真实的演示和修复技术,学员将通过设置实验室环境(包括Portswigger账户)亲身体验安全漏洞和防护策略。 * **提示注入(Prompt Injection)防范:** 学习识别和应对直接与间接提示注入攻击,并掌握有效的缓解策略。 * **安全输出处理:** 了解不当输出处理可能导致的安全漏洞,并通过演示学习如何修复不安全的输出处理机制。 * **供应链安全与服务中断(DoS)防御:** 分析供应链漏洞和模型拒绝服务攻击,提供实际操作步骤以加固系统。 * **数据完整性与机密性保护:** 深入研究训练数据投毒、敏感信息泄露问题,并学习必要的对策来保护数据和维护系统完整性。 * **高级AI安全主题:** 探讨插件安全、过度代理、过度依赖和模型窃取等复杂问题,学习行业认可的先进安全策略。 **学习成果:** * 理解生成式AI的基本概念,以及保障AI安全的必要性。 * 识别生成式AI系统中的关键威胁和漏洞,如提示注入、模型窃取和训练数据投毒。 * 掌握安全AI实践,包括输出处理、插件安全以及缓解过度代理风险。 * 获得通过真实演示进行安全漏洞分析和应对的实践经验。 * 了解如何防止敏感信息泄露和缓解供应链漏洞。 * 构建有效的策略来应对AI特有的攻击,如模型拒绝服务(DoS)和数据投毒。 本课程结合了前沿见解、真实安全演示和最佳实践,旨在帮助学员能够成功预防攻击、减轻风险并保护AI环境中的敏感信息,从而在AI网络安全领域建立竞争优势。

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课程详情

Are you a cybersecurity professional, AI enthusiast, or organization leader striving to protect AI-driven systems in an ever-evolving threat landscape? Do you want to learn how to safeguard Generative AI models from sophisticated attacks and vulnerabilities? This course is your ultimate guide to mastering the cybersecurity principles and practices needed to secure Generative AI applications.This course takes you deep into the world of AI security, focusing on the threats, vulnerabilities, and countermeasures specific to Generative AI systems. Whether you are an IT security expert, AI practitioner, or a forward-thinking technology leader, this course provides you with the essential tools and knowledge to defend AI models and ensure data security.This comprehensive journey begins with an introduction to generative AI and the importance of its security. It then delves into potential threats and manipulative uses, explores the inner workings of LLMs and AI models, and takes you through practical labs-including setting up lab access with Portswigger-to experience real-world demonstrations and remediation techniques.Key Benefits for You:Generative AI Fundamentals: Understand what generative AI is, including the roles of LLMs and AI models, and why securing these technologies is vital in today's digital landscape.Security Imperatives: Learn why protecting generative AI applications is crucial, with insights into potential threats and manipulative uses that could compromise system integrity.Practical Lab Experience: Gain hands-on skills by setting up lab environments (including creating Portswigger accounts) and experiencing live demos of security vulnerabilities and countermeasures.Prompt Injection Mitigation: Explore both direct and indirect prompt injection attacks, learn how to identify them, and discover effective strategies to stop malicious inputs.Secure Output Handling:Understand how improper output handling can lead to vulnerabilities, and watch demonstrations on how to fix insecure output processing.Supply Chain & DOS Defense: Examine supply chain vulnerabilities and model denial of service attacks, with real-world demos and actionable steps to secure your systems.Data Integrity & Confidentiality: Dive into training data poisoning, sensitive information disclosure, and learn the countermeasures needed to protect your data and maintain system integrity.Advanced AI Security: Tackle complex issues such as plugin security, excessive agency, overreliance, and model theft, and learn industry-recognized strategies to secure every aspect of your AI applications.In this course, you will:Explore the foundational concepts of Generative AI and why securing it is essential.Identify key threats and vulnerabilities in Generative AI systems, including prompt injection, model theft, and training data poisoning.Learn about secure AI practices like output handling, plugin security, and mitigating excessive agency risks.Gain hands-on experience through real-world demos of security vulnerabilities and their countermeasures.Understand how to prevent sensitive information leaks and mitigate supply chain vulnerabilities.Build robust strategies to counter AI-specific attacks like model denial of service (DoS) and data poisoning.Why learn about GenAI cybersecurity?Generative AI is revolutionizing industries, but its rapid advancement introduces new and unique security challenges. From manipulation of outputs to unauthorized model access, the risks are significant. This course empowers you with the knowledge and practical techniques to address these challenges head-on. Whether you are responsible for securing data, protecting AI models, or mitigating cyber threats, this course offers actionable solutions to strengthen your AI defenses.What makes this course unique?This course combines cutting-edge insights, real-world security demonstrations, and best practices for securing Generative AI systems. Each lecture is designed for practical application, guiding you step-by-step through the complexities of AI cybersecurity. By the end, you will be equipped with the expertise to prevent attacks, mitigate risks, and protect sensitive information in AI environments.This course provides a deep dive into the security risks and vulnerabilities associated with generative AI. By exploring real-world attack techniques and their corresponding countermeasures, you will be well-prepared to secure AI applications and build a cutting-edge career in cybersecurity.Join me on this exciting journey into the world of GenAI cybersecurity solutions. Enroll now and become a leader in protecting AI technologies!

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