3-Day Instructor-Led Training
Official ComTIA Exam Prep
Certification Exam Voucher Included
After-Course Instructor-Coaching Included
CompTIA SecAI+ Certification
Course 2078
- Duration: 3 days
- Exam Voucher: Yes
- Language: English
- Level: Intermediate
CompTIA SecAI+ enables a safer digital future by empowering IT and cybersecurity talent worldwide to meet the emerging challenges and opportunities at the intersection of AI and security.
CompTIA SecAI+ is the global IT industry’s first comprehensive “expansion” certification focused on the security of artificial intelligence systems and the secure application of AI in cybersecurity operations. This certification equips professionals with critical, vendor-neutral skills to understand, defend, and ethically deploy AI technologies within any organisation.
CompTIA SecAI+ AI Security Training Delivery Methods
In-Person
Online
Upskill your whole team by bringing Private Team Training to your facility.
CompTIA SecAI+ AI Security Training Information
Course Benefits
- Apply foundational and advanced AI concepts to strengthen organisational 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.
Prerequisites
This is equivalent to 3–4 years of IT experience with approximately 2 years of hands-on cybersecurity experience.
CompTIA SecAI+ AI Security Training Outline
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 summarisation
Module 6 — AI Governance, Risk, and Compliance
- AI governance structures
- AI organisational roles
- Responsible AI principles
- AI risk identification and assessment
- AI regulatory themes
- Compliance frameworks for AI
- Organisational AI policy design
- Compliance reporting
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CompTIA SecAI+ AI Security Training FAQs
Learners will develop practical, job-ready skills for recognising and responding to AI-driven threats, such as prompt injection, model abuse, data leakage, and adversarial attacks. They will be able to apply secure-by-design principles to AI use cases, policies, and workflows. Upon completion, learners will be prepared to contribute to risk management, governance, and incident response activities involving AI.
CompTIA’s new expansion certifications are designed to keep IT professionals ahead of the curve by focusing on emerging technologies. Unlike traditional job role-based exams, these credentials are shorter and more focused, aiming to augment relevant skills. Expansion certifications target highly relevant skill sets, such as AI and Automation, needed across related job roles. SecAI+ for example, benefits anyone working in cybersecurity, allowing professionals to stay up to date with the latest advancements without pursuing an entirely new job role-based certification.