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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-security-cn/
课程评论：没有评论
课程名称：AI安全 课程概述：由Christopher Nett教授的《AI安全》是一门精心构建的Coursera课程，旨在帮助IT专业人员掌握AI安全。该课程系统地带领学员从基础知识到高级概念，结合案例研究，深入理解AI安全所需的原则和实践。 课程受益： 1. **基础知识 - Azure**：学习Microsoft Azure的基本概念，包括核心服务、安全及最佳治理实践。 2. **基础知识 - Microsoft安全**：探索Microsoft的安全生态系统，包括旨在保护云端和本地环境的工具和框架。 3. **生成AI**：理解生成AI的原理及其在网络安全和企业风险管理中的应用及影响。 4. **生成AI的网络安全**：研究生成AI带来的独特安全挑战，以及在AI驱动环境中缓解风险的策略。 5. **Microsoft安全助手**：了解Microsoft安全助手如何利用AI增强安全操作、威胁检测和事件响应。 6. **ChatGPT在安全运营中心**：学习ChatGPT如何助力安全运营中心(SOC)实施自动化威胁检测、调查和响应。 7. **ChatGPT在网络威胁情报中的应用**：探索ChatGPT如何通过分析和总结新兴威胁来增强网络威胁情报(CTI)工作流。 8. **ChatGPT在漏洞管理中的应用**：理解ChatGPT如何支持漏洞管理工作，从风险评估到修复指导。 9. **ChatGPT在应用安全中的应用**：学习ChatGPT如何通过识别漏洞和改进安全最佳实践来保护应用程序。 10. **大型语言模型的OWASP前10大风险**：分析特定于大型语言模型的安全风险，包括数据中毒、对抗攻击和提示注入等。 11. **生成AI的其他风险**：考察与生成AI相关的其他风险，如错误信息、伦理问题和监管挑战。 12. **针对生成AI的威胁建模**：学习如何将威胁建模技术应用于生成AI系统，以识别和缓解潜在的安全威胁。 13. **MITRE ATT & CK和MITRE ATLAS**：探索MITRE ATT & CK与ATLAS框架如何帮助映射对抗性AI威胁并制定防御策略。 14. **使用Defender for Cloud保护AI安全**：理解Microsoft Defender for Cloud如何通过监控、检测和减轻与AI相关的威胁来增强AI安全。 总结：本课程通过全面的学习和实践，帮助学员掌握AI安全的核心知识与技能，提升在这一快速发展的领域中的专业能力和竞争力。
AI Security by Christopher Nett is a meticulously structured Udemy course aimed at IT professionals seeking to master AI Security. This course systematically walks you through the initial basics to advanced concepts with applied case studies. You will gain a deep understanding of the principles and practices necessary for AI Security.Key benefits for you:Basics - Azure: Learn the fundamental concepts of Microsoft Azure, including its core services, security, and governance best practices.Basics - Microsoft Security: Explore Microsoft's security ecosystem, including tools and frameworks designed to protect cloud and on-premises environments.Generative AI: Understand the principles of generative AI, its applications, and its impact on cybersecurity and enterprise risk management.Cybersecurity for GenAI: Examine the unique security challenges posed by generative AI and strategies for mitigating risks in AI-driven environments.Microsoft Security Copilot: Discover how Microsoft Security Copilot leverages AI to enhance security operations, threat detection, and incident response.ChatGPT for SOC: Learn how ChatGPT can assist Security Operations Centers (SOC) with automated threat detection, investigation, and response.ChatGPT for CTI: Explore how ChatGPT can enhance Cyber Threat Intelligence (CTI) workflows by analyzing and summarizing emerging threats.ChatGPT for Vulnerability Management: Understand how ChatGPT can support vulnerability management efforts, from risk assessment to remediation guidance.ChatGPT for Application Security: Learn how ChatGPT can assist in securing applications by identifying vulnerabilities and improving security best practices.OWASP Top 10 for LLMs: Analyze security risks specific to large language models (LLMs), including data poisoning, adversarial attacks, and prompt injection.Other Risks for GenAI: Examine additional risks associated with generative AI, such as misinformation, ethical concerns, and regulatory challenges.Threat Modeling for GenAI: Learn how to apply threat modeling techniques to generative AI systems to identify and mitigate potential security threats.MITRE ATT & CK and MITRE ATLAS: Explore how the MITRE ATT & CK and ATLAS frameworks help map adversarial AI threats and develop defensive strategies.Securing AI with Defender for Cloud: Understand how Microsoft Defender for Cloud enhances AI security by monitoring, detecting, and mitigating AI-related threats.
