CompTIA
CompTIA SecAI+
Secure AI systems and use AI to strengthen security.
3 daysIntermediate6 modules
About this course
Secure AI systems and use AI to strengthen security. Over three days you will apply AI and data concepts to cybersecurity, threat-model and protect AI systems, control access, counter AI-specific threats, use AI in security operations and govern AI risk and compliance, preparing for CompTIA SecAI+.
What you'll learn
- Apply foundational and advanced AI concepts to strengthen organizational cybersecurity.
- Implement robust security controls and best practices for protecting AI systems and data.
- Leverage AI-driven tools to enhance threat detection, response, and automation of security operations.
- Navigate global governance, risk, and compliance frameworks to ensure responsible AI adoption.
Curriculum
6 modules
- 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
- 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
- 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
- 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
- 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
- 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
Who it's for
Security professionals responsible for AI adoption in their organisations.
Before you start
- This is equivalent to 3–4 years of IT experience with approximately 2 years of hands-on cybersecurity experience.
Related courses
More in CompTIA →Intermediate
CompTIA A+
CompTIA
View course →Intermediate220-1201 and 220-1202
CompTIA A+ Certification (Exams 220-1201 and 220-1202)
CompTIA
View course →Foundation
CompTIA AI Essentials
CompTIA
View course →Foundation
CompTIA AI Prompting Essentials
CompTIA
View course →Intermediate
CompTIA AutoOps+
CompTIA
View course →Foundation
CompTIA Cloud Essentials+
CompTIA
View course →Let's plan your next step together.
Tell us the course or certification you have in mind and we'll send the outline, upcoming dates, fees and private-team options.