CompTIA SecAI+ Certification Training

Test Pass Academy has expert security instructors that have been teaching CompTIA Certifications for over 15 years. Our security instructors are well known in the industry not only as top level instructors with rave reviews, but also as top level security professionals who pass along real world examples to the class. Our experts have a vast understanding of security and a remarkable teaching ability making it easy to PASS the CompTIA SecAI+ Exam on the 1st attempt. If you are looking to gain Security experience and pass the SecAI+ exam at the same time, you found the right place. This 3-day Boot Camp is geared for the Government, Military and Contractors seeking 8140 compliance.

3 Day Authorized CompTIA SecAI+ (CY0-001) Bootcamp: Train-Test-Pass!

Upon completion of the CompTIA SecAI+ Course, you will demonstrate competence and learn to master:

Module 1: AI and Data Concepts for Cybersecurity

• AI concepts and core AI types
• Generative AI and transformers
• Machine learning and deep learning
• Natural language processing
• AI model training approaches
• Prompt engineering fundamentals
• Model security considerations
• AI data types and data security techniques
• RAG (Retrieval Augmented Generation) concepts
• Data integrity and processing controls

Module 2: Threat Modeling and Securing AI Systems

• AI threat modeling fundamentals
• Threat modeling processes and prerequisites
• AI threat modeling frameworks
• AI security control types
• Model guardrails and prompt templates
• Gateway and interface controls
• Usage quotas and limitation controls
• Security control testing

Module 3: Access Controls for AI

• AI access control principles and models
• Model and agent access controls
• API and network access security
• AI data security controls
• Encryption and data safety measures
• Monitoring and logging AI systems
• Performance and cost monitoring
• AI auditing and compliance monitoring

Module 4: AI Threats and Compensating Controls

• AI lifecycle security
• Ethical AI design considerations
• AI attack types and techniques
• Backdoor and trojan model attacks
• Model poisoning and inversion
• Model theft risks
• Compensating control strategies
• Post-incident AI analysis

Module 5: Leveraging AI in Security Operations

• AI-enabled security tools
• AI use cases in detection and analysis
• AI for vulnerability assessment
• AI-enhanced attack vectors
• AI for social engineering and deception
• AI reconnaissance techniques
• AI-driven automation
• AI in DevSecOps workflows
• AI scripting and summarization

Module 6: AI Governance, Risk, and Compliance

• AI governance structures
• AI organizational roles
• Responsible AI principles
• AI risk identification and assessment
• AI regulatory themes
• Compliance frameworks for AI
• Organizational AI policy design
• Compliance reporting