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The program also supports CY0-001 exam preparation through structured practice.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/exam/","Exam",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/comptia-secai-course-content-course-objectives-and-topics/310381/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/comptia-secai-course-content-course-objectives-and-topics/310381.png","ImageObject",300,407,{"name":42,"@type":43},"Quinn Holloway","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-30","2026-09-20",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",13,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"What skills does CompTIA SecAI+ build for cybersecurity operations?","Question",{"text":63,"@type":64},"The course develops skills to understand, defend, and ethically deploy AI technologies, including secure AI system design, threat modeling, governance, and use of AI-enabled tools for detection, analysis, automation, and incident response.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What hands-on lab topics are included?",{"text":68,"@type":64},"Learners practice prompt engineering, adversarial testing, applying model security controls, and performing monitoring, auditing, and post-incident analysis to support secure AI lifecycle operations.",{"name":70,"@type":61,"acceptedAnswer":71},"What prerequisites are recommended to take this course?",{"text":72,"@type":64},"The recommended prerequisite is 3–4 years of IT experience with about 2 years of hands-on cybersecurity experience, plus familiarity with security fundamentals, networking, and basic AI/ML concepts.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},310381,1789881617,{"code":4,"msg":82,"data":83},"success",[84,88,92,95,100,105,110,115,120,123,127],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":93,"slug":94},70,"exam",{"id":96,"doc_module":4,"doc_module_name":25,"category_name":97,"show_sort_weight":98,"slug":99},5,"Comic",60,"comic",{"id":101,"doc_module":4,"doc_module_name":25,"category_name":102,"show_sort_weight":103,"slug":104},6,"Technology",50,"technology",{"id":106,"doc_module":4,"doc_module_name":25,"category_name":107,"show_sort_weight":108,"slug":109},7,"Healthcare",40,"healthcare",{"id":111,"doc_module":4,"doc_module_name":25,"category_name":112,"show_sort_weight":113,"slug":114},8,"Research & Report",30,"research-report",{"id":116,"doc_module":4,"doc_module_name":25,"category_name":117,"show_sort_weight":118,"slug":119},9,"Religion & Spirituality",20,"religion-spirituality",{"id":118,"doc_module":4,"doc_module_name":25,"category_name":121,"show_sort_weight":118,"slug":122},"World Cup","world-cup",{"id":124,"doc_module":4,"doc_module_name":25,"category_name":125,"show_sort_weight":124,"slug":126},10,"Lifestyle","lifestyle",{"id":128,"doc_module":4,"doc_module_name":25,"category_name":129,"show_sort_weight":96,"slug":130},19,"General","general",{"code":4,"msg":82,"data":132},{"doc_id":79,"user_id":133,"nickname":42,"user_avatar":134,"doc_module":4,"category_id":33,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":33,"language":140,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":12,"update_tm":80,"read_time":124,"preview_page_count":4},2336474466712,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Course Content  \nDescription:  \nCompTIA SecAI+ is the IT industry’s first comprehensive certification focused on securing artificial intelligence systems and applying AI responsibly within cybersecurity operations. It equips learners with the skills to understand, defend, and ethically deploy AI technologies across modern enterprises. The course covers AI concepts, threat modeling, secure AI system design, governance, risk, compliance, and the use of AI‑enabled tools in security operations. Learners gain hands‑on experience with prompt engineering, adversarial testing, model security controls, and AI‑driven automation.  \nThis course supports preparation for the CompTIA SecAI+ (CY0‑001) certification exam.  \nObjectives:  \nUpon successful completion of this course, students will:  \n• Apply foundational and advanced AI concepts to strengthen cybersecurity posture.  \n• Implement security controls for AI systems, including model guardrails, access controls, and data protections.  \n• Perform AI‑specific threat modeling and analyze AI‑related attack vectors.  \n• Use AI‑enabled tools to enhance detection, analysis, automation, and incident response.  \n• Identify and mitigate risks associated with AI misuse, bias, adversarial attacks, and data leakage.  \n• Navigate AI governance, risk, and compliance frameworks to support responsible AI adoption.  \n• Evaluate AI system integrity and conduct monitoring, auditing, and post‑incident analysis.  \n• Prepare for the SecAI+ certification exam through structured practice and applied labs.  \nPrerequisites:  \n• 3–4 years of IT experience, including approximately 2 years of hands‑on cybersecurity experience (recommended) .  \n• Familiarity with security fundamentals, networking, and basic AI/ML concepts is helpful.  \n• Ideal for learners who already hold certifications such as Security+, CySA+, or PenTest+ .  \nTarget Audience:  \n• Cybersecurity analysts and engineers  \n• SOC teams and incident responders  \n• IT practitioners expanding into AI‑integrated environments  \n• Governance, risk, and compliance professionals  \n• Technology leaders evaluating AI capabilities and vulnerabilities  \n• Anyone responsible for securing, deploying, or managing AI systems  \n\n| Topics:\u003Cbr>Module 1: Summarizing AI and Data Concepts for Cybersecurity\u003Cbr>• Explain AI concepts for cybersecurity\u003Cbr>• Core AI types; Generative AI; ML and statistical learning; Transformers; NLP\u003Cbr>• Detect suspicious activity using ML\u003Cbr>• Understand AI model training and prompt engineering\u003Cbr>• Supervised, unsupervised, reinforcement, and federated learning\u003Cbr>• Prompt engineering fundamentals; system roles; zero‑shot/one‑shot/multi‑shot prompting\u003Cbr>• Secure AI data\u003Cbr>• AI data types; data security considerations; RAG solutions\u003Cbr>• Data handling techniques; integrity verification\u003Cbr>Module 2: Implementing Threat Modeling and Securing AI Systems\u003Cbr>• Use AI threat modeling\u003Cbr>• AI threat resources; prerequisites; modeling processes; frameworks\u003Cbr>• Implement security controls for AI systems\u003Cbr>• Model‑specific controls; guardrails; prompt templates\u003Cbr>• Gateway/interface controls; quota limitations; testing controls\u003Cbr>Module 3: Installing Access Controls for AI\u003Cbr>• Deploy access controls for AI\u003Cbr>• Access control principles; AI access control models; model access; agent/data access\u003Cbr>• Network/API access; threat landscape\u003Cbr>• Apply data security controls\u003Cbr>• Encryption; data safety measures; masking/anonymization\u003Cbr>• Perform monitoring and auditing\u003Cbr>• Prompt/log monitoring; performance/cost monitoring; compliance auditing | Module 4: Distinguishing AI‑Related Threats and Compensating Controls\u003Cbr>• Demonstrate the importance of security in the AI lifecycle\u003Cbr>• Lifecycle stages; data security; human factors; ethics\u003Cbr>• Analyze AI system attacks and compensating controls\u003Cbr>• Backdoor/Trojan attacks; poisoning; inversion; theft\u003Cbr>• Compensating controls; post‑incident analysis\u003Cbr>Module 5: Leveraging AI in Security and Understan","cbCaivCAxw3ZjoMM","https://ap.wps.com/l/cbCaivCAxw3ZjoMM","pdf",213804,"English","# Objectives\n## Prerequisites and Target Audience\n## Topics by Module\n### Module 1: Summarizing AI and Data Concepts for Cybersecurity\n### Module 2: Implementing Threat Modeling and Securing AI Systems\n### Module 3: Installing Access Controls for AI\n### Module 4: Distinguishing AI-Related Threats and Compensating Controls\n### Module 5: Leveraging AI in Security and Understanding Its Misuse\n### Module 6: Understanding AI Governance, Risk, and Compliance\n# Appendix A: SecAI+ (CY0-001) Practice Exams","[{\"question\":\"What skills does CompTIA SecAI+ build for cybersecurity operations?\",\"answer\":\"The course develops skills to understand, defend, and ethically deploy AI technologies, including secure AI system design, threat modeling, governance, and use of AI-enabled tools for detection, analysis, automation, and incident response.\"},{\"question\":\"What hands-on lab topics are included?\",\"answer\":\"Learners practice prompt engineering, adversarial testing, applying model security controls, and performing monitoring, auditing, and post-incident analysis to support secure AI lifecycle operations.\"},{\"question\":\"What prerequisites are recommended to take this course?\",\"answer\":\"The recommended prerequisite is 3–4 years of IT experience with about 2 years of hands-on cybersecurity experience, plus familiarity with security fundamentals, networking, and basic AI/ML concepts.\"}]","CompTIA SecAI+ Course Content - Course Objectives and Topics | PDF"]