CompTIA SecAI+

Prerequisites

• Three to four years of IT experience
• Approximately two years of hands-on cyber security experience
• Security+ or equivalent knowledge recommended

Target audience

This course is designed for experienced IT and cyber security professionals working with or transitioning into AI security roles. It is particularly suitable for:

• Cyber security analysts and engineers
• Security operations professionals
• Threat intelligence analysts
• DevSecOps & Software engineers
• Security architects
• IT professionals working with AI systems

CompTIA SecAI+ Course Content

Module 1: AI and data concepts for cyber security

• Understand core AI concepts including machine learning and deep learning
• Explore generative AI, transformers, and natural language processing
• Apply AI model training approaches and prompt engineering
• Analyse AI data types, integrity, and processing controls
• Understand retrieval augmented generation concepts

Module 2: Threat modelling and securing AI systems

• Apply AI threat modelling methodologies and frameworks
• Identify AI-specific threats and vulnerabilities
• Implement security controls for AI systems and interfaces
• Apply guardrails, usage controls, and secure configurations
• Test and validate AI security controls

Module 3: Access controls for AI

• Implement access control models for AI systems and agents
• Secure APIs and network interfaces
• Apply data protection and encryption techniques
• Monitor and log AI system activity
• Conduct auditing and compliance monitoring

Module 4: AI threats and compensating controls

• Identify adversarial AI threats and attack techniques
• Understand model poisoning, inversion, and theft risks
• Apply ethical AI design principles
• Implement compensating controls and mitigation strategies
• Conduct post-incident analysis for AI systems

Module 5: Leveraging AI in security operations

• Use AI-driven tools for threat detection and analysis
• Apply AI in vulnerability management and assessment
• Understand AI-enabled attack vectors and risks
• Automate security workflows and response processes
• Integrate AI into DevSecOps environments

Module 6: AI governance, risk, and compliance

• Understand AI governance structures and organisational roles
• Apply responsible AI principles and frameworks
• Identify and assess AI-related risks
• Align AI initiatives with regulatory and compliance requirements
• Develop organisational policies and reporting mechanisms

Hands-on learning

This course emphasises practical application through real-world scenarios and interactive exercises focused on securing AI systems.

• Hands-on exercises covering AI system security and threat modelling
• Practical labs on securing models, data pipelines, and APIs
• Scenario-based learning focused on AI-driven threats and incidents
• Exercises in AI risk assessment and governance implementation
• Instructor-led walkthroughs of AI security tools and techniques
• Peer discussions exploring emerging AI security challenges

This hands-on approach ensures learners can apply AI security principles effectively within production environments.

Exams and assessments

This course includes structured assessments and full preparation for the CompTIA SecAI+ certification exam.

• CompTIA SecAI+ exam included
• Exam duration of 60 minutes
• Maximum of 60 questions
• Question formats include multiple-choice and performance-based
• Passing score set at 600 on a scale of 100 to 900

Learners will leave the course with the knowledge and confidence to pass the certification exam and apply AI security practices in real-world environments.