|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/detection-as-code-in-ibm-qradar/
课程评论：没有评论
**课程名称：** IBM QRadar 中的检测即代码 (Detection-as-Code in IBM QRadar) **课程概述：** 本课程为期数小时，旨在为安全专业人士提供一套全面的实践性教学，重点介绍如何在 IBM QRadar 中应用“检测即代码”(DaC) 原则，以实现威胁检测的自动化和优化。学员将学习如何以可重用、可扩展的方式设计、开发和实施检测规则，从而提升安全运营的效率和一致性。 **核心内容：** * **构建可重用的检测规则：** 学习如何创建灵活且可复用的检测规则。 * **利用 GitHub 管理检测内容：** 掌握如何使用 GitHub 作为中央存储库来管理和版本控制检测规则。 * **将 DaC 方法学集成到 QRadar 工作流：** 学习如何将检测即代码的理念融入现有的 QRadar 操作流程。 * **自动化检测规则的部署：** 探索如何实现检测规则的自动化部署，减少手动干预。 **课程亮点：** * **实践导向：** 课程强调实际操作，通过互动演示和真实场景，确保学员掌握实际技能。 * **可扩展性与适应性：** 侧重于建立能够应对不断变化的威胁形势的可扩展、自动化的检测机制。 * **能力提升：** 帮助学员提升 QRadar 工作流程，减少手动工作量，并通过自动化增强组织的威胁检测和响应能力。 **目标学员：** 本课程特别适合希望优化 QRadar 工作流程、减少手动工作并提高威胁检测和响应能力的各位安全分析师、管理员和工程师。 **学习目标：** 完成本课程后，学员将能够运用 QRadar 的全部功能，开发、部署和维护可扩展的自动化检测解决方案。
Hi everyone, and welcome to my 2nd course - "Detection-as-Coode in IBM QRadar".This course provides a comprehensive, hands-on introduction to leveraging Detection-as-Code (DaC) principles within IBM QRadar, enabling security professionals to automate and streamline threat detection. Participants will learn how to design, develop, and implement detection rules in a reusable and scalable manner, enhancing the efficiency and consistency of their security operations.Key topics include building reusable detection rules, leveraging GitHub as a central repository for managing detection content, and integrating DaC methodologies into QRadar workflows. Participants will also explore how to automate the deployment of detection rules.The course emphasizes practical application through interactive demonstrations and real-world scenarios, ensuring learners gain the skills necessary to build and manage detection mechanisms that can evolve with changing threat landscapes. By the end of the course, participants will be able to develop, deploy, and maintain scalable, automated detection solutions using QRadar's full capabilities.This course is ideal for security analysts, administrators, and engineers looking to enhance their QRadar workflows, reduce manual effort, and improve their organization's threat detection and response capabilities through automation.I truly hope you will enjoy the material, and that you take some things into your day-to-day career. Thank you!
