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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-securing-industrial-control-systems/
课程评论：没有评论
**课程名称：** 人工智能——工业控制系统安全 **课程概述：** 本课程深入探讨人工智能（AI）如何革新工业控制系统（ICS）和运营技术（OT）环境的网络安全。课程适合大学生、工程师、网络安全专业人士以及希望将AI融入关键基础设施保护的IT和OT从业人员。 **主要内容：** * **AI基础：** 涵盖监督学习、无监督学习和强化学习。 * **实际应用：** * 威胁检测 * 异常监控 * 预测性维护 * 自动化事件响应 * **安全部署策略：** * 设计分层安全架构 * 构建AI驱动的检测管道 * 实现可解释和可审计模型 * **部署考量：** * 边缘、集中式、混合式和联邦式AI系统 * 遵循IEC 62443和NIST AI风险管理框架等行业标准 * **行业案例研究：** * 涵盖汽车、电力、水处理、油气（上、中、下游）及制造业。 * 分析AI在防御者和攻击者中的应用。 * **风险管理：** * 提示注入（Prompt Injection） * 对抗性机器学习（Adversarial Machine Learning） * 人机协作治理（Human-in-the-Loop Governance） **课程目标：** 学员将掌握安全有效地应用AI保护工业控制系统和运营技术的技能、框架和见解。
This course explores how artificial intelligence (AI) is revolutionizing cybersecurity for industrial control systems (ICS) and operational technology (OT) environments. It is designed for college and university students, engineers, cybersecurity professionals, and both IT and OT practitioners ready to integrate AI into protecting critical infrastructure. Learners start with AI fundamentals-covering supervised, unsupervised, and reinforcement learning-before advancing to practical, real-world applications such as threat detection, anomaly monitoring, predictive maintenance, and automated incident response. The course offers actionable strategies for deploying AI securely across ICS/OT ecosystems. It includes guidance on designing layered security architectures, building AI-enabled detection pipelines, and implementing explainable and auditable models. Learners will grasp deployment considerations for edge, centralized, hybrid, and federated AI systems while understanding how to align architecture with industry standards like IEC 62443 and NIST's AI Risk Management Framework. Real-world case studies from the automotive, power, water treatment, oil & gas (upstream, midstream, and downstream), and manufacturing sectors illustrate how both defenders and adversaries utilize AI. Learners will also delve into risk mitigation, prompt injection, adversarial machine learning, and human-in-the-loop governance. By the end of the course, students will be equipped with the skills, frameworks, and insights needed to safely and effectively apply AI to protect industrial control systems and operational technology.
