CompTIA SecAI Certification Crash Course

1. Course Welcome

   5 lessons

   1. Course Trailer
   2. Welcome to the Course - Overview
   3. CompTIA SecAI Certification Overview
   4. Why the CompTIA SecAI Certification is Important
   5. Special Offers for Completing Course!

2. Module One - Domain 1 - Basic AI Concepts Related to Cybersecurity (17%)

   44 lesson

   1. Module One Overview

   1. Section 1.1 AI Fundamentals and Techniques

      1. Section 1.1 Overview
      2. AIML Fundamentals
      3. AIML Types - Supervised, Unsupervised and Reinforcement
      4. Compare/Contrast AI and ML
      5. AI Types
      6. What is Deep Learning?
      7. Natural Language Processing (NLP)
      8. Generative AI Services
      9. Understanding the AI Technology Stack
      10. Whiteboard - How GenAI Works
      11. Whiteboard - How Agentic AI works
      12. Whiteboard - How Predictive AI works
      13. AI Lesson - AI Assistants Hidden Danger
      14. Understanding AI Algorithms
      15. Generative Pre-trained Transformers (GPTS)
      16. What are Large Language Models (LLM)
      17. AI Lesson - AI Security New Rules
      18. Perceptual Pillars of AI
      19. Demonstration - GCP AI Ecosystem
      20. MLFlow Lifecycle Use Case
      21. Prompt Engineering
      22. Whiteboard - AIML Data Security
      23. Demonstration - System and User Prompts
      24. Demonstration - Zero Shot Prompts
      25. Demonstration - Selecting the Model

   2. Section 1.2 - Data security in relation to AI.

      1. Section 1.2 Overview
      2. Data Lifecycles
      3. Importance of Data to AI
      4. AI Lesson - Data Types
      5. Cybersecurity Defense
      6. Demonstration - Watermarking
      7. Whiteboard - RAG

   3. Section 1.3 - Importance of security throughout the life cycle of AI

      1. Section 1.3 Overview
      2. AI Lifecycles
      3. NIST AI Lifecycles
      4. Whiteboard NIST AI Lifecycle
      5. Apply Security to Business Use Cases
      6. AI Lesson Trustworthy Data Collection
      7. CompTIA SecAI DCI Access Live QA
      8. AI Lifecycle and MLOps
      9. AI Lesson Thru Lifecycle
      10. Module One Review
      11. Module One Questions

3. Module Two - Domain 2 - Securing AI Systems (40%)

   46 lesson

   1. Module 2 Overview

   1. Section 2.1 - AI threat-modeling resources

      1. Section 2.1 Overview
      2. AI Lesson Threat Modeling
      3. Rise of LLMS
      4. OWASP Top 10 for LLMs
      5. DCI Prioritizing Risks
      6. SDLC
      7. Whiteboard - Mitigate Risk LLM Rev1
      8. MIT AI Risk Repository
      9. MITRE ATLAS
      10. CVE AI Working Group
      11. Red Teams

   2. Section 2.2 - Implement security controls for AI systems

      1. Section 2.2 Overview
      2. AI Lesson Secure AI Framework with Gemini
      3. Cloud Shared Security Model
      4. Defense In Depth (DiD)
      5. AI Secure AI Checklist
      6. LLM Operational and Runtime Controls
      7. AI Lesson MLSecOps
      8. Demonstration NotebookLM Security
      9. DCI Guardrails

   3. Section 2.3 - Implement appropriate access controls for AI systems

      1. Section 2.3 Overview
      2. AI Lesson Access Controls Strategies
      3. Data Access Controls
      4. Security Differences between Open AI Versions
      5. AI Lesson Secure AI Agents
      6. Whiteboard - OpenAI RBAC
      7. API Network
      8. Whiteboard - Prompt Injection

   4. Section 2.4 - Implement data security controls for AI systems

      1. Section 2.4 Overview
      2. AI Lesson Encryption
      3. AI Lesson Data Safety and Controls
      4. Data Models and Supply Chain
      5. Whiteboard - Data and Supply Chain Risks

   5. Section 2.5 - Implement monitoring and auditing for AI systems

      1. AI Lesson - Rate Limiting, Token Limits, Input Quotas
      2. AI Lesson - Understanding AI Costs
      3. Whiteboard - Key Pillars of AI Quality
      4. AI Lesson - How Tokens Work with Generative AI

   6. Section 2.6 - Analyze the evidence of an attack and suggest compensating controls for AI systems

      1. Section 2.6 Overview
      2. AI Lesson - Hacking AI for Safety
      3. LLM01: Prompt Injection
      4. LLM05: Improper Output Handling
      5. LLM04: Data and Model Poisoning
      6. LLM07: System Prompt Leakage
      7. Module Review Summary
      8. Module Review Questions

4. Module Three Domain 3 - AI-assisted Security (24%)

   11 lessons

   1. 113 CompTIA SecAI DCI Obfuscation Rev2
   2. 116 CompTIA SecAI DCI Deepfakes Rev2

   1. Section 3.1 - Use AI-enabled tools to facilitate security tasks

      1. Section 3.1 Overview
      2. AI Lesson Tools and Applications
      3. Agentic AI SOC
      4. Whiteboard - Model Context Protocol (MCP) Security
      5. AI Use Case - AWS Threat Modeling

   2. Section 3.2 - Explain how AI enables or enhances attack vectors.

      1. Section 3.2 Overview
      2. AI Attack Vectors
      3. Adversarial Networks
      4. Social Engineering

5. Module Four Domain 4 - AI Governance, Risk, and Compliance (19%)

   20 lessons

   1. Module Four Overview
   2. 126 CompTIA SecAI DCI Section 4.1 Rev1
   3. 127 CompTIA SecAI DCI AI Lesson AI Governance Rev2
   4. 128 CompTIA SecAI DCI Professional Responsibility Rev1
   5. 129 CompTIA SecAI DCI Code of Conduct Rev1
   6. 130 CompTIA SecAI DCI AI Related Roles Rev1
   7. 131 CompTIA SecAI DCI Create Policies and Procedures Rev1
   8. 132 CompTIA SecAI DCI Whiteboard Responsible AI Principles Rev1
   9. 133 CompTIA SecAI DCI Center of Excellence Rev1
   10. 134 CompTIA SecAI DCI Ethical Review Board Rev1
   11. 135 CompTIA SecAI DCI Section 4.2 Rev1
   12. 136 CompTIA SecAI DCI AI Lesson AI Ethics Rev2
   13. 137 CompTIA SecAI DCI AI Ethics Rev1
   14. 138 CompTIA SecAI DCI White Box Black Box Rev1
   15. 139 CompTIA SecAI DCI AI Ethic Principles Rev1
   16. 140 CompTIA SecAI DCI AI Ethic Governance Rev1
   17. 141 CompTIA SecAI DCI Seven Cs of AI Rev1
   18. 142 CompTIA SecAI DCI Transparency Rev1
   19. 143 CompTIA SecAI DCI Case Study MS Tay Rev1
   20. 144 CompTIA SecAI DCI Sources of Bias Rev1

6. Practice Exams

   0 lessons