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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-for-cybersecurity-experts/
课程评论：没有评论
课程名称：面向网络安全专家的生成性人工智能 课程概述：随着网络安全环境的不断发展，保护网络所需的工具也在不断演变。此课程旨在赋能网络安全专业人士，提供实际技能、技术见解和战略框架，使其能够在现代防御环境中利用生成性人工智能（GenAI）的强大能力。课程涵盖从威胁检测和事件响应到合规自动化和对抗模拟等真实案例，展示了GenAI在网络安全领域的应用。 课程开始时，我们将简化大型语言模型（LLMs）和扩散模型的运行机制，并解释为什么GenAI相比于传统人工智能系统在增强网络安全任务方面具有独特优势。学员们将探索GenAI如何重塑网络安全生态系统，包括利用GenAI自动生成来自IOC源的威胁情报报告，将非结构化的开源情报（OSINT）转换为结构化摘要，以及利用ChatGPT绘制MITRE ATT&CK攻击路径。 您将掌握针对网络安全的提示工程技巧，设计用于日志分析、异常检测、分类自动化和对抗模拟的命令。通过实验，您将使用GenAI解析安全信息和事件管理（SIEM）日志，生成安全自动化响应（SOAR）工作流程，并在道德和安全的环境下模拟APT攻击链。 课程还深入探讨治理和风险，涉及高级主题，如提示注入、模型反演和数据污染，并介绍如沙箱、安全访问控制和审计日志等缓解策略，以确保GenAI的安全部署。通过对Microsoft Security Copilot和Palo Alto Cortex XSIAM的案例研究，学员将研究GenAI与SIEM、SOAR和EDR平台的整合。 课程的最终项目包括1000多个精心设计的GenAI提示，旨在提升网络安全操作的效率，从漏洞分类到合规报告自动化。
As the cybersecurity landscape evolves, so do the tools needed to protect it. This course empowers cybersecurity professionals with the practical skills, technical insights, and strategic frameworks required to harness the power of Generative AI (GenAI) in modern defense environments. From threat detection and incident response to compliance automation and adversarial simulation, this course presents real-world applications of GenAI in a cyber context.We begin by demystifying how large language models (LLMs) and diffusion models operate, and why GenAI is uniquely positioned to augment cybersecurity tasks compared to traditional AI systems. You will explore how GenAI is reshaping the cybersecurity ecosystem, with hands-on use cases such as auto-generating threat intelligence reports from IOC feeds, converting unstructured OSINT into structured summaries, and leveraging ChatGPT to map MITRE ATT & CK vectors.You will master prompt engineering for cybersecurity-designing commands for log analysis, anomaly detection, triage automation, and adversarial simulation. Through labs, you'll use GenAI to parse SIEM logs, generate SOAR workflows, and simulate APT attack chains ethically and securely.The course delves into governance and risk, addressing advanced topics like prompt injection, model inversion, and data poisoning, while introducing mitigation strategies such as sandboxing, access controls, and audit logging for secure GenAI deployment.With case studies on Microsoft Security Copilot and Palo Alto Cortex XSIAM, you'll examine GenAI integrations with SIEM, SOAR, and EDR platforms. The capstone includes over 1000 expertly crafted GenAI prompts to supercharge cybersecurity operations-from vulnerability classification to compliance report automation.
