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所在平台: Udemy |
课程主页: https://www.udemy.com/course/social-engineering-with-genai-generative-ai/
课程评论：没有评论
课程名称：生成性人工智能社会工程学 - 学习如何防御 课程概述：生成性人工智能正迅速成为人工智能中的一个重要概念，提供了模拟创造力和内容生成的惊人能力。像ChatGPT和MidJourney这样的工具正在改变各行各业的运作方式。此课程旨在深入理解生成性人工智能技术如何被利用进行社会工程攻击，以及应对这些复杂威胁所需的策略。课程覆盖识别、分析和减轻生成性人工智能驱动的社会工程攻击的原则、组成部分和最佳实践。 您将学习到： - 社会工程学和生成性人工智能的基本原则和组成部分：了解社会工程学的基础知识，以及生成性人工智能如何在这些攻击中被利用。 - 识别生成性人工智能驱动的社会工程攻击：学习识别和分析由生成性人工智能支持的攻击，辅以真实案例和案例研究。 - 针对生成性人工智能社会工程学的防御策略：实施有效的防御机制、最佳实践和培训程序，以提升对这些威胁的抵御能力。 课程大纲： - 社会工程学与生成性人工智能简介 - 什么是社会工程学？ - 生成性人工智能如何革新社会工程战术 - 防御生成性人工智能驱动的社会工程攻击的重要性 - 识别与分析生成性人工智能驱动的社会工程攻击 - 社会工程学技术概述 - 对生成性人工智能促进的攻击的详细分析 - 针对生成性人工智能社会工程学的防御策略 - 安全最佳实践和工具 - 制定政策和培训计划 - 提高意识和增强韧性 哪些人适合参加此课程： 本课程适合有意了解和防御生成性人工智能推动的社会工程攻击的个人，包括： - 网络安全专业人员 - IT经理 - 人工智能从业者 - 安全分析师 - 任何有兴趣学习生成性人工智能及其在社会工程学中影响的人 先修知识： 本课程假设您具备基本的人工智能和网络安全知识，但不需要有生成性人工智能或社会工程学的先前知识。 讲师介绍： Taimur Ijlal是一位屡获殊荣的信息安全负责人，拥有超过20年的国际网络安全和金融科技行业IT风险管理经验。他获得了包括年度首席信息安全官、首席信息安全官前30名、前50名和最杰出安全团队等多个重要行业奖项。Taimur的网络安全和人工智能课程在全球有数千名学生。他的著作曾在《ISACA Journal》《CIO Magazine Middle East》等领先出版物上发表，并出版了两本关于人工智能安全和云计算的书籍（在亚马逊上排名第一的新书）。
Generative AI is rapidly becoming an essential concept in artificial intelligence, offering incredible capabilities to simulate creativity and content generation. Tools like ChatGPT and MidJourney are changing the way industries operate. The "Social Engineering with GenAI " course is designed to provide a deep understanding of how generative AI technologies can be exploited for social engineering attacks and the strategies needed to defend against these sophisticated threats.This course covers the principles, components, and best practices for identifying, analyzing, and mitigating social engineering attacks driven by Generative AI.What You Will LearnFundamental principles and components of Social Engineering and GenAI: Understand the basics of social engineering and how Generative AI can be used in these attacks.Identifying GenAI-driven social engineering attacks: Learn to recognize and analyze attacks facilitated by GenAI, supported by real-world examples and case studies.Defensive strategies against GenAI social engineering: Implement effective defense mechanisms, best practices, and training programs to enhance resilience against these threats.Course OutlineIntroduction to Social Engineering and GenAIWhat is Social Engineering?How Generative AI is revolutionizing social engineering tacticsImportance of defending against GenAI-driven social engineering attacksIdentifying and Analyzing GenAI-Driven Social Engineering AttacksOverview of social engineering techniquesDetailed analysis of GenAI-facilitated attacksDefensive Strategies Against GenAI Social EngineeringSecurity best practices and toolsDeveloping policies and training programsEnhancing awareness and resilienceWho Should Take This CourseThis course is designed for individuals interested in understanding and defending against social engineering attacks facilitated by Generative AI, including:Cybersecurity professionalsIT ManagersAI practitionersSecurity AnalystsAnyone interested in learning about GenAI and its implications in social engineeringPrerequisitesThis course assumes a basic understanding of AI and cybersecurity, but no prior knowledge of Generative AI or social engineering is required.InstructorTaimur Ijlal is a multi-award-winning information security leader with over 20+ years of international experience in cyber-security and IT risk management in the fin-tech industry. Winner of major industry awards such as CISO of the Year, CISO Top 30, CISO Top 50, and Most Outstanding Security Team. Taimur's courses on Cybersecurity and AI have thousands of students from all over the world. He has also been published in leading publications like ISACA Journal, CIO Magazine Middle East, and has published two books on AI Security and Cloud Computing (ranked #1 new release on Amazon).
