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所在平台: Udemy |
课程主页: https://www.udemy.com/course/agentic-ai-risk-and-cybersecurity-masterclass-2025/
课程评论：没有评论
课程名称：Agentic AI - 风险与网络安全大师班 2025 课程概述：Agentic AI 代表着人工智能的下一次进化，这种系统能够在最少人类干预的情况下自主做出决策、规划行动和与世界互动。随着人工智能的自主性不断增强，新出现的风险和安全挑战超越了传统的网络安全关注点。本课程旨在深入理解 Agentic AI 技术、其独特的风险环境以及保障这些智能系统安全的最佳实践。 课程内容包括： - Agentic AI 系统的基本原则和架构 - 自主人工智能的风险环境及其影响 - 仅针对 Agentic AI 的安全威胁，包括 AI 自主性风险、对抗性操控和基于决策的攻击 - 在 Agentic AI 环境中，提示注入和模型利用攻击的发展 - 设计安全的 Agentic AI 系统的策略，以及伦理保障和风险缓解控制 - Agentic AI 网络安全的合规和治理框架 适合人群： 本课程适合希望了解并减轻与自主 AI 系统相关的网络安全风险的个人，主要包括： - AI 工程师与研究人员 - 网络安全专业人士 - 数据科学家与 AI 伦理专家 - IT 经理与风险专业人士 - 探索 Agentic AI 采用的商业领导者 先决条件： 建议具备基本的 AI 和网络安全概念，但无需具备 Agentic AI 的先前知识。 讲师介绍： Taimur Ijlal 是一位屡获殊荣的网络安全领导者，拥有超过 20 年的全球网络风险管理、AI 安全和 IT 治理经验。他获得了 CISO 年度奖、CISO 前30名和最优秀安全团队的行业认可。Taimur 的网络安全和 AI 课程在全球拥有数千名学生，其工作曾被 ISACA Journal、CIO Magazine 中东及多本 AI 安全出版物报道。他关于 AI 安全和云计算的书籍已在亚马逊上排名第一的新书发布。 加入本课程，掌握快速发展的 Agentic AI 风险和网络安全领域的前沿知识！
Agentic AI represents the next evolution of artificial intelligence-systems that can autonomously make decisions, plan actions, and interact with the world with minimal human intervention. As AI becomes increasingly autonomous, new risks and security challenges emerge that go beyond traditional cybersecurity concerns.The "Agentic AI Risk and Cybersecurity Masterclass" is a comprehensive course designed to provide a deep understanding of agentic AI technologies, their unique risk landscape, and the best practices for securing these intelligent systems.This course explores the principles, components, and security considerations of Agentic AI, equipping you with the knowledge to assess, mitigate, and defend against emerging AI threats.What You Will LearnFundamental principles and architecture of Agentic AI systemsUnderstanding the risk landscape in autonomous AI and its implicationsSecurity threats unique to Agentic AI, including AI autonomy risks, adversarial manipulation, and decision-based attacksHow prompt injections and model exploitation attacks evolve in an Agentic AI contextStrategies for designing secure Agentic AI systems with ethical safeguards and risk mitigation controlsCompliance and governance frameworks for Agentic AI cybersecurityCourse OutlineIntroduction to Agentic AIWhat is Agentic AI?How does it differ from Generative AIWhy security in Agentic AI is criticalRisks in Agentic AIOverview of the Agentic AI risk landscapeThreat modeling Agentic AI systemsCase Study of Threat Modeling Agentic AI systems Security in Agentic AICreating a Security Framework For Agentic AIThreat vectors and attack techniques against autonomous AIHijacking attacks, data poisoning, and malicious automationBest practices for hardening Agentic AI models and deploying AI security frameworksWho Should Take This CourseThis course is ideal for individuals looking to understand and mitigate the cybersecurity risks associated with autonomous AI systems, including:AI engineers & researchersCybersecurity professionalsData Scientists & AI Ethics specialistsIT Managers & risk professionalsBusiness leaders exploring Agentic AI adoptionPre-requisites Basic understanding of AI and cybersecurity concepts is recommended, but no prior knowledge of Agentic AI is required.InstructorTaimur Ijlal is a multi-award-winning cybersecurity leader with over 20+ years of global experience in cyber risk management, AI security, and IT governance. He has been recognized with industry accolades such as CISO of the Year, CISO Top 30, and Most Outstanding Security Team.Taimur's cybersecurity and AI courses have thousands of students worldwide, and his work has been featured in ISACA Journal, CIO Magazine Middle East, and multiple AI security publications. His books on AI Security and Cloud Computing have ranked as #1 new releases on Amazon.Join this course to stay ahead of the rapidly evolving landscape of Agentic AI Risk and Cybersecurity!
