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所在平台: Udemy |
课程主页: https://www.udemy.com/course/kusto-query-language-kql-for-cybersecurity/
课程评论：没有评论
课程名称：Kusto查询语言（KQL）用于网络安全 课程概述：KQL用于网络安全是一个精心设计的Udemy课程，专为希望掌握KQL以满足网络安全需求的IT专业人士而设。课程系统地带领学生完成从初始设置到高级实施的全过程，并结合实际应用。 课程的主要益处包括： 1. **安全运营中心基础知识**：建立安全运营中心核心概念的坚实基础。 2. **Azure基础知识**：熟悉与将Microsoft Defender XDR集成到云环境中相关的重要Azure服务和配置。 3. **微软安全基础知识**：深入了解微软的安全生态系统，包括工具、最佳实践和零信任理念，以保护数字资产。 4. **Kusto查询语言（KQL）**：学习KQL的基础知识，这是一种为网络安全快速和高效的数据探索而设计的强大查询语言。 5. **KQL运算符基础**：掌握基本的KQL运算符，包括过滤、排序和聚合，以有效分析安全数据。 6. **KQL运算符 - 连接和合并**：理解如何在KQL中使用连接和合并来关联来自多个源的数据，以进行全面的威胁分析。 7. **KQL在Microsoft Security Copilot中的应用**：探索KQL如何与Microsoft Security Copilot集成，以增强自动化威胁检测和响应能力。 8. **KQL在Microsoft Defender for Cloud中的应用**：学习如何在Microsoft Defender for Cloud中使用KQL来监控和保护云工作负载。 9. **KQL在Microsoft Sentinel中的应用**：了解KQL如何驱动Microsoft Sentinel的SIEM功能，使高级威胁猎捕和安全分析成为可能。 10. **KQL在Microsoft Defender XDR中的应用**：利用KQL在Microsoft Defender XDR中检测、调查和响应复杂的网络威胁。 11. **Microsoft Entra ID的KQL查询**：探索KQL查询以分析身份验证、访问模式和安全事件。 12. **网络威胁情报（CTI）的KQL查询**：利用KQL识别妥协指标（IoCs）和可疑活动，以加强网络威胁情报。 13. **Azure防火墙的KQL查询**：了解如何使用KQL监控和分析防火墙日志，以检测和防止网络威胁。 14. **漏洞管理的KQL查询**：利用KQL评估和管理整个安全环境中的漏洞，以实现主动风险管理。 15. **KQL的ChatGPT应用**：了解如何利用ChatGPT生成、优化和完善KQL查询，以加速和提高安全调查的效率。 该课程将帮助参与者系统掌握KQL，使其在网络安全领域的工作更为高效和有效。
KQL for Cybersecurity, is a meticulously structured Udemy course aimed at IT professionals seeking to master KQL for cybersecurity purposes. This course systematically walks you through the initial setup to advanced implementation with real-world applications.Key Benefits for you:SOC Basics: Establish a strong foundation with an overview of core concepts for a Security Operations CentersAzure Basics: Familiarize yourself with essential Azure services and configurations relevant to integrating Microsoft Defender XDR into cloud environments.Microsoft Security Basics: Gain insight into Microsoft's security ecosystem, including tools, best practices, and zero trust for safeguarding digital assets.The Kusto Query Language (KQL): Learn the fundamentals of KQL, a powerful query language designed for fast and efficient data exploration in cybersecurity.KQL Operators - Fundamentals: Master essential KQL operators, including filtering, sorting, and aggregation, to analyze security data effectively.KQL Operators - Joins and Union: Understand how to use Joins and Union in KQL to correlate data from multiple sources for comprehensive threat analysis.KQL in Microsoft Security Copilot: Explore how KQL integrates with Microsoft Security Copilot to enhance automated threat detection and response.KQL in Microsoft Defender for Cloud: Discover how to use KQL in Microsoft Defender for Cloud to monitor and secure cloud workloads.KQL for Microsoft Sentinel: Learn how KQL powers Microsoft Sentinel's SIEM capabilities, enabling advanced threat hunting and security analytics.KQL in Microsoft Defender XDR: Utilize KQL in Microsoft Defender XDR to detect, investigate, and respond to sophisticated cyber threats.KQL Queries for Microsoft Entra ID: Explore KQL queries to analyze authentication, identity access patterns, and security incidents in Microsoft Entra ID.KQL Queries for Cyber Threat Intelligence (CTI): Leverage KQL for cyber threat intelligence by identifying indicators of compromise (IoCs) and suspicious activities.KQL Queries for Azure Firewall: Learn how to use KQL for monitoring and analyzing firewall logs to detect and prevent network threats.KQL Queries for Vulnerability Management: Utilize KQL to assess and manage vulnerabilities across your security environment for proactive risk mitigation.ChatGPT for KQL: Discover how to use ChatGPT to generate, refine, and optimize KQL queries for faster and more effective security investigations.
