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Overview
CompTIA SecAI+ is a three-day, expert-led course designed to equip IT and cyber security professionals with the skills required to secure AI systems and apply AI securely within cyber security operations. As a vendor-neutral certification focused on AI security, it enables organisations to address emerging risks and opportunities at the intersection of AI and cyber security.
This course provides a comprehensive understanding of AI technologies, threat landscapes, and security controls across the full AI lifecycle. Learners will gain practical knowledge in securing AI models, data pipelines, and deployment environments, while also leveraging AI-driven tools to enhance security operations.
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
Learning objectives
By the end of this course, learners will be able to:
- Apply AI concepts to cyber security environments
- Implement security controls to protect AI systems, models, and data
- Identify and mitigate AI-specific threats and vulnerabilities
- Leverage AI tools to enhance threat detection and response
- Integrate AI securely into DevSecOps and enterprise architectures
- Apply risk, and compliance frameworks to AI systems
Course Outline
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.
Frequently asked questions
How can I create an account on myQA.com?
There are a number of ways to create an account. If you are a self-funder, simply select the "Create account" option on the login page.
If you have been booked onto a course by your company, you will receive a confirmation email. From this email, select "Sign into myQA" and you will be taken to the "Create account" page. Complete all of the details and select "Create account".
If you have the booking number you can also go here and select the "I have a booking number" option. Enter the booking reference and your surname. If the details match, you will be taken to the "Create account" page from where you can enter your details and confirm your account.
Find more answers to frequently asked questions in our FAQs: Bookings & Cancellations page.
How do QA’s virtual classroom courses work?
Our virtual classroom courses allow you to access award-winning classroom training, without leaving your home or office. Our learning professionals are specially trained on how to interact with remote attendees and our remote labs ensure all participants can take part in hands-on exercises wherever they are.
We use the WebEx video conferencing platform by Cisco. Before you book, check that you meet the WebEx system requirements and run a test meeting to ensure the software is compatible with your firewall settings. If it doesn’t work, try adjusting your settings or contact your IT department about permitting the website.
How do QA’s online courses work?
QA online courses, also commonly known as distance learning courses or elearning courses, take the form of interactive software designed for individual learning, but you will also have access to full support from our subject-matter experts for the duration of your course.
Once you have purchased the Online course and have completed your registration, you will receive the necessary details to enable you to immediately access it through our e-learning platform and you can start to learn straight away, from any compatible device. Access to the online learning platform is valid for one year from the booking date.
All courses are built around case studies and presented in an engaging format, which includes storytelling elements, video, audio and humour. Every case study is supported by sample documents and a collection of Knowledge Nuggets that provide more in-depth detail on the wider processes.
When will I receive my joining instructions?
Joining instructions for QA courses are sent two weeks prior to the course start date, or immediately if the booking is confirmed within this timeframe. For course bookings made via QA but delivered by a third-party supplier, joining instructions are sent to attendees prior to the training course, but timescales vary depending on each supplier’s terms. Read more FAQs.
When will I receive my certificate?
Certificates of Achievement are issued at the end the course, either as a hard copy or via email. Read more here.