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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-security-masterclass-threats-defense-2025/
课程评论：没有评论
**课程名称：** 生成式AI安全大师课：威胁与防御 - 2025 **课程概述：** 本课程是一份实用的指南，旨在帮助学习者深入理解和应对生成式AI（如ChatGPT、Bard、Claude、Midjourney等）带来的风险、威胁和防御策略。随着生成式AI工具的普及，传统安全框架已不足以应对其带来的新型威胁。本课程将聚焦于理解和管理生成式AI及大型语言模型（LLMs）的独特安全风险，适合网络安全专家、技术领导者、风险管理者以及任何在日常工作中接触AI的人员。 **课程内容要点：** * **生成式AI与LLMs基础：** 了解生成式AI和LLMs的运作原理。 * **AI安全风险全景：** 涵盖数据泄露、模型幻觉、提示注入（Prompt Injection）、未经授权访问、深度伪造滥用等多种AI安全风险。 * **AI风险识别与优先级排序：** 学习使用STRIDE和DREAD等威胁建模框架来识别和评估AI风险。 * **公有与私有LLMs的差异及选择：** 理解不同部署模型的安全与合规性需求，并作出明智选择。 * **安全AI使用策略制定：** 学习为团队或组织创建安全的AI使用政策。 * **AI驱动攻击的预防：** 掌握预防AI驱动的网络钓鱼、恶意软件生成和供应链攻击的实操策略。 * **AI安全最佳实践：** 学习沙盒技术、API防护以及实时AI监控的最佳实践。 **课程亮点：** 本课程强调实践性，而非仅仅理论教学。学习者将有机会： * 研究真实的AI安全事件。 * 观看提示注入攻击的实际演示。 * 亲手构建一份可用于实际工作的AI安全政策。 **学习目标：** * 能够评估任何AI系统在部署前的风险。 * 自信地向团队或高层沟通AI威胁及解决方案。 * 实施有效的技术和治理控制措施。 * 领导或促进AI工具在企业中的安全应用。 **目标学员：** * 网络安全分析师、架构师及工程师。 * 负责AI采纳的CISO、CTO及IT领导者。 * 致力于AI合规的风险与合规专员。 * 部署语言模型的开发人员和AI/ML工程师。 * 使用AI工具的产品经理、法务团队及业务相关人员。 * 对AI安全感兴趣但技术背景有限的学习者。 **无需技术经验：** 本课程不要求编程或机器学习专业知识。只要具备基本的网络安全常识，并对新兴威胁充满好奇，即可参与。 **课程项目：** 学员将完成一项实践项目——从零开始构建一份针对公司、政府或初创企业实际使用的生成式AI安全政策。 **课程结束时，您将能够：** * 识别并缓解生成式AI的漏洞。 * 安全地集成ChatGPT及其他LLMs工具。 * 预防内部滥用和外部攻击。 * 将技术威胁转化为战略行动。 * 自信地领导或参与负责任的AI应用。
Welcome to the Generative AI Security Masterclass - your practical guide to navigating the risks, threats, and defenses in the age of AI.Generative AI tools like ChatGPT, Bard, Claude, and Midjourney are changing the way we work, code, communicate, and innovate. But with this incredible power comes a new generation of threats - ones that traditional security frameworks weren't designed to handle.This course is designed to help you understand and manage the unique security risks posed by generative AI and Large Language Models (LLMs) - whether you're a cybersecurity expert, tech leader, risk manager, or just someone working with AI in your daily operations.What You'll Learn in This CourseWhat generative AI and LLMs are - and how they actually workThe full range of AI security risks: data leakage, model hallucinations, prompt injection, unauthorized access, deepfake abuse, and moreHow to identify and prioritize AI risks using threat modeling frameworks like STRIDE and DREADThe difference between public vs. private LLMs, and how to choose the right deployment for your security and compliance needsHow to create a secure AI usage policy for your team or organizationStep-by-step strategies to prevent AI-powered phishing, malware generation, and supply chain attacksBest practices for sandboxing, API protection, and real-time AI monitoringWhy This Course Stands OutThis is not just another theoretical AI class.You'll explore real-world security incidents, watch hands-on demos of prompt injection attacks, and build your own custom AI security policy you can actually use.By the end of this course, you'll be ready to:Assess the risks of any AI system before it's deployedCommunicate AI threats and solutions with confidence to your team or executivesImplement technical and governance controls that actually workLead the secure adoption of AI tools in your business or organizationWho This Course Is ForThis course is for anyone looking to build or secure generative AI systems, including:Cybersecurity analysts, architects, and engineersCISOs, CTOs, and IT leaders responsible for AI adoptionRisk and compliance professionals working to align AI with regulatory standardsDevelopers and AI/ML engineers deploying language modelsProduct managers, legal teams, and business stakeholders using AI toolsAnyone curious about AI security, even with minimal technical backgroundNo Technical Experience RequiredYou don't need to be a programmer or a machine learning expert. If you understand basic cybersecurity principles and have a passion for learning about emerging threats, this course is for you.Course Project: Your Own AI Security PolicyYou'll apply what you've learned by building a generative AI security policy from scratch - tailored for real-world use inside a company, government, or startup. By the End of This Course, You'll Be Able To:Recognize and mitigate generative AI vulnerabilitiesSecurely integrate tools like ChatGPT and other LLMsPrevent insider misuse and external attacksTranslate technical threats into strategic actionConfidently lead or contribute to responsible AI adoption
