CompTIA SecAI+ CY0-001认证课程，涵盖AI攻防、OWASP LLM Top 10、MITRE ATLAS、模型护栏与AI治理合规，助你系统掌握AI安全实践。
原始标题：Total: CompTIA SecAI+ (CY0-001)
CompTIA SecAI+ (CY0-001) 是专为具备网络安全基础的人员打造的全新认证，核心在于在网络安全实践中安全且负责任地使用人工智能。课程围绕四大考试领域展开，帮助学员深入理解 AI 带来的威胁变化，攻防兼备地解析 AI 如何作为武器进行漏洞探测或深伪攻击，以及如何作为工具用于 SOC 自动化与欺诈检测。在技术防御上，它聚焦于 AI 系统的全生命周期安全（MDLC），指导学员利用 OWASP LLM Top 10 与 MITRE ATLAS 框架进行威胁建模，通过实施模型护栏、输入输出硬化、访问控制和加密等手段，全方位构建 AI 部署的纵深防御体系。
在技术防御之外，该课程强调了 AI 治理、风险与合规（GRC） 在组织架构中的决定性作用。它详细阐述了如何通过明确组织角色与安全策略来建立 AI 治理体系，并指导学员如何将 AI 的开发与应用对齐国际主流的监管框架。学员将系统性地掌握 EU AI Act（欧盟 AI 法案） 的风险分级监管要求、NIST AI RMF 的风险管理流程，以及 ISO/IEC 42001 的 AI 管理体系标准，从而确保企业在拥抱 AI 技术创新的同时，能够跨越合规红线并有效抵御新型对抗性风险。
Published 9/2026
Created by Total Seminars Over 1 Million Enrollments, Michael Solomon
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Intermediate | Genre: eLearning | Language: English | Duration: 61 Lectures ( 9h 36m ) | Size: 10 GB
Securing and responsibly using artificial intelligence in a cybersecurity practice, AI governance, OWASP, MITRE ATLAS
What you’ll learn
⚡ How to secure AI systems across every layer — model guardrails and hardening, access controls, encryption, and monitoring and attack analysis
⚡ How AI typesand data security controls shape the attack surface of an AI deployment, and how to apply the Model Development Lifecycle (MDLC)
⚡ How AI is used to defend and to attack — from SOC augmentation and fraud detection to deepfakes, AI-generated malware, and AI-driven reconnaissance
⚡ How to govern AI through organizational structures and roles and regulatory frameworks including the EU AI Act, NIST AI RMF, and ISO/IEC 42001
Requirements
❗ A working knowledge of core cybersecurity concepts equivalent to CompTIA Security+; no prior AI or machine learning background required.
Description
CompTIA SecAI+ (CY0-001) is CompTIA’s certification focused on securing and responsibly using artificial intelligence within a cybersecurity practice. This course provides comprehensive skills and exam preparation for security analysts, SOC analysts, and other cybersecurity professionals who need to understand how AI is changing the threat landscape and how to defend AI systems, secure AI-driven workflows, and use AI as a security tool. The course covers all four SecAI+ exam domains: Basic AI Concepts Related to Cybersecurity, Securing AI Systems, AI-assisted Security, and AI Governance, Risk, and Compliance.
Learners begin with the foundational vocabulary of artificial intelligence and machine learning security (AI types, model training, prompt engineering, and data security) before moving into the technical core of the course: AI threat modeling with the OWASP LLM Top 10 and MITRE ATLAS, model guardrails and hardening, access controls, encryption, and monitoring and attack analysis across every layer of an AI deployment. The course then covers how AI is used both defensively and offensively in security operations, from SOC augmentation and automated penetration testing to deepfakes, AI-generated malware, and AI-driven reconnaissance. It closes with AI governance, the EU AI Act, the NIST AI Risk Management Framework, ISO/IEC 42001, and third-party AI vendor risk.
By the end of this course, learners will be able to secure, govern, and responsibly use AI systems in a cybersecurity context, a fast-growing skill set as organizations race to adopt AI while managing new categories of risk. CompTIA SecAI+ certification demonstrates to employers that a security professional can evaluate AI-related threats, harden AI deployments, and support AI governance programs, making it a valuable credential for cybersecurity professionals looking to specialize in one of the field’s fastest-emerging areas.
Who this course is for
⭐ Intermediate learners who want to dive into the world of Security related AI systems.
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