中This course is designed to equip you with the knowledge to protect large language models (LLMs) and AI systems from emerging threats. You will explore critical security challenges such as prompt injection, training data poisoning, and model theft. You will gain insights into frameworks like MITRE ATLAS and NIST, and learn to implement best practices for securing AI ecosystems. By the end of this course, you will be proficient in identifying vulnerabilities, applying mitigation strategies, and enhancing the resilience of AI systems.
Certified Ethical Hacker (CEH): Unit 8
您将学到什么
Develop a foundational understanding of AI threats and LLM security frameworks.
Master techniques to mitigate risks such as prompt injection and training data poisoning.
Implement best practices for securing AI supply chains and protecting sensitive information.
Enhance AI system resilience through proactive security testing and incident response strategies.
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最近已更新！
July 2025
作业
7 项作业
授课语言：英语（English）
了解顶级公司的员工如何掌握热门技能
积累特定领域的专业知识
本课程是 Certified Ethical Hacker (CEH) 专项课程 专项课程的一部分
在注册此课程时，您还会同时注册此专项课程。
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- 获得对主题或工具的基础理解
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- 获得可共享的职业证书
该课程共有1个模块
This module covers securing generative AI. It begins with an introduction to AI threats and large language model (LLM) security. You will learn about OS Top 10 for LLM applications and the MITRE ATLAS framework. You will learn about the Coalition for Secure AI and the best practices being developed by organizations like NIST and others. You will learn about prompt injection, insecure output handling, training data poisoning, model denial of service, and supply chain security. You'll also learn about other threats, like sensitive information disclosure, insecure plugin design, and excessive agency. You will learn concepts that will help you understand overreliance in AI, model theft attacks, and understanding red teaming of AI models. The module will also cover retrieval-augmented generation (RAG) and its different permutations, as well as explore tools like LangChain, LlamaIndex, LangGraph, and other orchestration libraries used with AI. You will learn how to secure embedding models, secure vector databases, and develop strategies for monitoring and incident response.
涵盖的内容
36个视频7个作业
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Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
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