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CompTIA SecAI+ (CY0-001) Complete Course & Exam Prep
Training Overview
Description of Training
Introduction
Welcome to the Course – CompTIA SecAI+ AI Security (3:55)
Understanding the CompTIA SecAI+ Certification (5:27)
SecAI+ Exam Structure and Strategy (4:36)
What Makes This Course Exceptional for SecAI+ (4:38)
DOMAIN 1 BASIC AI CONCEPTS RELATED TO CYBERSECURITY
Understanding Artificial Intelligence Fundamentals (5:40)
Generative AI Explained for AI Security (5:45)
Machine Learning Basics for AI Security (9:35)
Statistical Learning Fundamentals for AI (9:03)
Transformers Architecture in AI Security (9:12)
Deep Learning Essentials for AI Security (9:29)
Quiz : SecAI+ Quiz: AI Types and Techniques
CompTIA SecAI+ NLP and Language Models Certification Guide
Large Language Models LLMs for AI Security (10:34)
Natural Language Processing NLP Overview (10:19)
Small Language Models SLMs in AI Security (11:18)
Generative Adversarial Networks GANs Explained (10:43)
CompTIA SecAI+ Model Training Techniques Certification Guide
Model Validation Strategies for AI Security (9:45)
Supervised Learning Explained (10:53)
Unsupervised Learning Techniques (11:12)
Reinforcement Learning Fundamentals (11:33)
Epoch Pruning and Quantization Techniques (11:38)
CompTIA SecAI+ Prompt Engineering Certification Exam Guide
System and User Prompts in AI (11:19)
Introduction to Prompt Engineering for AI (11:27)
Zero-Shot One-Shot and Multi-Shot Prompting (12:17)
System Roles and Templates in AI (10:52)
CompTIA SecAI+ Data Security for AI Certification Guide
Data Processing Fundamentals in AI (10:36)
Data Cleansing and Verification in AI (10:08)
Data Lineage and Provenance in AI (10:37)
Data Integrity and Augmentation Techniques (10:21)
Data Balancing Techniques for AI (10:31)
CompTIA SecAI+ AI Data Types and Structures Guide
Structured Data in AI Systems (10:03)
Semi-Structured and Unstructured Data (10:09)
Watermarking Techniques for AI Data (10:39)
CompTIA SecAI+ Retrieval-Augmented Generation Certification Guide
RAG Architecture Explained for AI Security (10:46)
Vector Storage and Embeddings in AI (10:42)
CompTIA SecAI+ AI Security Lifecycle Certification Guide
Business Use Case Alignment for AI (10:38)
Data Collection for AI Systems (11:06)
Data Preparation and Model Development (11:21)
Model Evaluation and Deployment (11:29)
Validation Monitoring and Maintenance (11:29)
Feedback Iteration and Human-Centric Design (11:17)
DOMAIN 2 SECURING AI SYSTEMS
Introduction to AI Threat Modeling (12:06)
OWASP Machine Learning Security Top 10 (11:31)
OWASP LLM Top 10 for AI Security (12:23)
MIT AI Risk Repository (10:30)
MITRE ATLAS Framework for AI Security (11:36)
CVE AI Working Group (9:43)
Threat Modeling Frameworks Explained (12:38)
CompTIA SecAI+ AI Security Controls Certification Guide
Model Controls Overview for AI Security (6:50)
Model Evaluation Controls in AI Security (7:29)
Model Guardrails for AI Systems (6:22)
Gateway Controls in AI Security (7:41)
Prompt Firewalls for AI Protection (8:50)
Rate Limits and Token Limits in AI (7:51)
Input Quotas Data Size and Quantity (7:02)
Modality Limits in AI Systems (7:13)
Endpoint Access Controls for AI (7:39)
Guardrail Testing and Validation (8:41)
CompTIA SecAI+ AI Access Controls Certification Guide
Model Access Controls for AI (5:50)
Data Access Controls in AI Systems (6:29)
Agent Access Controls in AI (6:29)
Network and API Access Controls (6:31)
CompTIA SecAI+ AI Data Security Controls Guide
Encryption Requirements Overview (6:59)
Data Encryption at Rest in AI (7:16)
Data Encryption in Use for AI (7:08)
Data Encryption in Transit (7:28)
Data Anonymization Techniques (7:51)
Data Classification and Labeling (8:02)
Data Redaction and Masking (7:55)
Data Minimization Principles (6:53)
CompTIA SecAI+ AI Monitoring and Auditing Guide
Prompt Monitoring for AI Systems (6:27)
Log Monitoring for AI (8:12)
Log Sanitization and Protection (7:45)
Response Confidence Level Monitoring (7:14)
Rate Monitoring in AI Systems (6:41)
AI Cost Monitoring (9:21)
Auditing for Quality and Compliance (7:35)
CompTIA SecAI+ AI Attack Vectors Certification Guide
Prompt Injection Attacks in AI (7:25)
Poisoning Attacks Model and Data (7:44)
Jailbreaking AI Models (8:00)
AI Hallucinations Security Impact (8:18)
Input Manipulation Attacks (8:12)
Introducing Biases in AI Systems (8:13)
Circumventing AI Guardrails (8:16)
Manipulating Application Integrations (8:05)
Model Inversion Attacks (8:11)
Model Theft Attacks (7:16)
AI Supply Chain Attacks (8:25)
Transfer Learning Attacks (8:02)
Model Skewing Attacks (8:17)
Output Integrity Attacks (7:55)
Membership Inference Attacks (7:40)
Model Denial of Service DoS (8:34)
Sensitive Information Disclosure (8:02)
Insecure Plugin Design (7:58)
Excessive Agency in AI Systems (8:01)
Overreliance on AI Systems (8:23)
CompTIA SecAI+ AI Compensating Controls Guide
Implementing Prompt Firewalls (8:54)
Applying Model Guardrails (6:52)
Access Control Implementation (7:33)
Data Integrity Controls (6:51)
Encryption Implementation (8:01)
Implementing Least Privilege (6:15)
Rate Limiting Strategies (8:06)
Prompt Template Security (7:14)
Quiz : SecAI+ Quiz: AI Compensating Controls
DOMAIN 3 AI-ASSISTED SECURITY CompTIA SecAI+ AI-Enabled Security Tools Guide
Overview of AI Security Tools (8:42)
Browser Plug-ins for Security (9:15)
CLI Plug-ins for Security (8:40)
AI Chatbots for Security (9:12)
Personal AI Assistants (8:30)
IDE Plug-ins for Secure Coding (8:39)
Model Context Protocol MCP Servers (8:53)
CompTIA SecAI+ AI Security Use Cases Guide
Signature Matching with AI (7:54)
Code Quality and Linting (8:03)
AI-Driven Vulnerability Analysis (8:28)
Automated Penetration Testing (9:13)
Anomaly Detection (8:25)
Pattern Recognition in Security (8:45)
Threat Modeling with AI (8:25)
Fraud Detection with AI (9:00)
Translation for Security (8:18)
Summarization of Security Data (9:00)
AI-Assisted Incident Management (8:47)
CompTIA SecAI+ AI-Enhanced Attack Vectors Guide
AI-Generated Content Deepfakes (8:08)
Impersonation Attacks with AI (9:09)
Misinformation and Disinformation (9:31)
Adversarial Networks in Attacks (9:14)
AI-Powered Reconnaissance (9:28)
Enhanced Social Engineering (10:36)
Obfuscation Techniques (9:51)
Automated Data Correlation (8:48)
Automated Attack Generation (9:13)
Attack Vector Discovery (9:15)
AI-Generated Payloads and Malware (9:25)
Honeypot Identification (9:07)
AI-Enhanced DDoS Attacks (9:31)
CompTIA SecAI+ AI Security Automation Guide
Low-Code and No-Code AI Tools (8:44)
Scripting with AI Assistance (8:44)
Document Synthesis and Summarization (9:05)
Incident Response Ticket Management (9:25)
Change Management with AI (9:45)
AI Agents for Security (9:52)
CompTIA SecAI+ CICD and AI Automation Certification Guide
CICD Pipeline Security for AI (9:26)
AI-Powered Code Scanning (9:19)
Software Composition Analysis SCA (9:27)
Unit Testing with AI (8:47)
Regression Testing in AI Systems (8:55)
Model Testing in CICD (10:08)
Automated Deployment and Rollback (9:36)
DOMAIN 4 AI GOVERNANCE, RISK, AND COMPLIANCE
AI Governance Overview (10:38)
AI Center of Excellence (11:22)
AI Policies and Procedures (11:03)
CompTIA SecAI+ AI Security Roles Certification Guide
Data Scientist Role in AI Security (9:16)
AI Architect Role Explained (10:43)
Machine Learning Engineer Role (10:44)
Platform Engineer Role in AI (10:29)
MLOps Engineer Role Explained (10:30)
AI Security Architect Role (9:45)
AI Governance Engineer Role (10:02)
AI Risk Analyst Role (11:11)
AI Auditor Role Explained (10:44)
Data Engineer Role in AI (11:44)
CompTIA SecAI+ Responsible AI Certification Guide
Responsible AI Principles (11:00)
Fairness in AI Systems (11:39)
Reliability and Safety in AI (12:02)
Transparency in AI Systems (11:36)
Privacy and Security in AI (12:00)
Explainability in AI (12:25)
Inclusiveness in AI Design (12:04)
Accountability in AI Systems (12:20)
Consistency in AI Outputs (11:32)
Awareness Training for AI Security (12:13)
CompTIA SecAI+ AI Risk Management Certification Guide
Introduction of Bias Risk (10:12)
Accidental Data Leakage (10:39)
Reputational Loss Risks (10:52)
Model Accuracy and Performance Risks (9:58)
Intellectual Property Risks (8:43)
Autonomous Systems Risks (10:01)
Shadow IT and Shadow AI (9:33)
CompTIA SecAI+ Compliance Frameworks Certification Guide
NIST AI Risk Management Framework (9:40)
OECD AI Standards (9:36)
EU AI Act Overview (8:55)
ISO AI Standards (10:51)
Corporate AI Policies (11:37)
Sensitive Data Governance (13:39)
Third-Party Compliance Evaluations (12:51)
Data Sovereignty in AI (12:58)
Audio Version of the Course
Audio Download
Data Cleansing and Verification in AI
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