CompTIA SecAI+ Certification Training Course
Length
5 days/ 5 weeks
Price
$2999
Days
Mon - Fri
Why Choose This Course
CompTIASecAI+ is a vendor-neutral certification that focuses on securing AI systems and using AI responsibly in security operations. This instructor-led training course is aligned to the currentSecAI+ examobjectivesand teaches you how to protect models,dataand pipelines, apply AI-assisted detection and response, and integrate governance,riskand compliance controls into real environments. You learn practical measures for deploying,hardeningandmonitoringAI across on-premises,cloudand hybrid platforms, with emphasis on adversarial risk and safe operational use.
The course covers AI fundamentals relevant to cybersecurity, then moves into detailed controls for data protection, access, guardrails,monitoringand attack mitigation. You examine common attack paths such as prompt injection, poisoning and model theft and learn how to apply compensating controls. You also explore how AI can support SOC workflows by accelerating triage,correlationand response whilemaintainingoversight and auditability. The training concludes with exam-oriented consolidation and scenario practice to help you prepare with confidence.
Designed for security analysts, engineers, architects and GRC professionals, this course is suitable for teams adopting AI-enabled tooling as well as those securing AI capabilities embedded in business workflows. The focus is on exam-aligned content, hands-onpracticeand clear mapping to real job tasks, without vendor lock-in. A certificate of course attendance is included.
Prerequisites
- There are no formal prerequisites for this course.
Exam
Candidates can achieve this certification by passing the following exam(s).
- CompTIA SecAI+ (CY0-001)
Books
- CompTIA SecAI+ course material included.
Delivery
- Live virtual online training attend in real-time from anywhere
Skills Gained
- Explain core AI concepts for cybersecurity, including machine learning, deeplearningand NLP
- IdentifyAI-driven threats and attack surfaces across data,modelsand inference
- Apply threat modelling to AI systems and pipelines
- Implement model guardrails, gatewaycontrolsand safe prompting practices
- Enforce access controls for models, data,agentsand APIs
- Protect AI data with encryption, masking,redactionandminimisation
- Monitor AI usage,logsand costs; audit for accuracy,biasand compliance
- Detect and mitigate adversarial attacks such as prompt injection and poisoning
- Use AI tools to support detection, triage,investigationand response
- Automate security workflows with low-code and no-code patterns
- Integrate AI securely into CI/CD andDevSecOpsprocesses
- Align AI deployments toorganisationalpolicies and global governance frameworks
- Communicate AI risk and control effectiveness to stakeholders
- Prepare for theSecAI+ exam with objective-mapped study and scenarios
Audience
- Security analysts, incident responders and SOC practitioners using or securing AI-enabled tools
- Security engineers and architects responsible for AI workloads and integrations
- GRC, risk and compliance professionals governing responsible AI use
- Cloud, platform andDevSecOpsengineers embedding AI in pipelines and platforms
- Technical leadsseekingexam-aligned, vendor-neutral AI security skills
Course Schedule & Pricing
Choose the schedule that fits your life — all options include full course materials & certification support
Full-time immersion for rapid certification readiness.
Balance your career while you upgrade your skills.
Maximum flexibility for busy working professionals.
Outline
- AI types and techniques for security: ML, DL, transformers, LLMs and SLMs
- Prompt engineering foundations and safe patterns
- Data security for AI: cleansing, verification,lineageand provenance
- Retrieval-augmented generation,embeddingsand vector storage
- Secure AI lifecycle: development, deployment, validation, monitoring
- AI threat modelling usingrecognisedresources and frameworks
- Model safeguards: guardrails,templatesand evaluation
- Gateway controls for AI: prompt firewalls, rate and token limits, quotas
- Endpoint and API protection for AI services
- Identity and access management for models,agentsand data
- Data protection: encryption in transit, at rest and in use
- Data safety:anonymisation, classification,redactionand masking
- Monitoring and observability: prompts, responses,loggingandsanitisation
- Quality and compliance checks: hallucinations, accuracy,biasand fairness
- Adversarial risks: prompt injection, poisoning,jailbreakingand evasion
- Additionalthreats: model inversion, theft, output integrity, membership inference
- Compensating controls: guardrails, access, integritycontrolsand least privilege
- AI-assisted security operations: anomaly detection,enrichmentand case notes
- Automation for SOC workflows: ticketing,changeand approvals
- CI/CD and software composition analysis for AI projects
- Responsible AI andorganisationalgovernance roles
- Risk themes: bias, leakage, reputationalimpactand performance
- Policy alignment and third-party compliance considerations
- Exam readiness: blueprint review and scenario-based practice
Terms & Conditions
Frequently Asked Questions (FAQ's)
What is CompTIA SecAI+ and who should take it?
How does this course differ from general cybersecurity training?
Do I need programming or data science experience?
Our Partnership
Reliable certification testing is vital for validating professional skills in today’s tech-driven world. As a Pearson VUE Authorised Centre, we provide a secure environment for globally recognised IT exams. This partnership ensures convenient access to certifications with the highest standards of integrity and accuracy.
Our Accreditations
