AI Powered Course
CompTIA SecAI+ Certification Training
Become a Certified AI-Security & Risk Professional
12 Sep
Program Highlights
The CompTIA SecAI+ (v1) Certification Training Course from InfosecTrain is a vendor-neutral, security-focused program designed to validate the skills required to identify, mitigate, and manage security risks introduced by Artificial Intelligence systems.
Participants gain practical insight into how attackers misuse AI, how defenders can secure AI models and data pipelines, and how organizations can govern AI responsibly while meeting regulatory and ethical obligations.
40-Hour Instructor-Led Training 
Aligned with Official CompTIA SecAI+ Exam Objectives 
Focus on Real-world AI Threats, Attacks, and Defenses 
Exam-Oriented Training with Scenario-Based Discussions 
Highly Interactive, Case-Driven Sessions 
Telegram Support Group for Exam Preparation 
Learn from Experienced AI & Security Practitioners 
Extended Post-Training Support 
Access to Recorded Sessions
Training Schedule
- upcoming classes
- corporate training
- 1 on 1 training
| Start - End Date | Training Mode | Batch Type | Start - End Time | Batch Status | |
|---|---|---|---|---|---|
| 12 Sep - 17 Oct | Online | Weekend | 19:00 - 23:00 IST | BATCH OPEN |
Why Choose Our Corporate Training Solution
- Upskill your team on the latest tech
- Highly customized solutions
- Free Training Needs Analysis
- Skill-specific training delivery
- Secure your organizations inside-out
Why Choose 1-on-1 Training
- Get personalized attention
- Customized content
- Learn at your dedicated hour
- Instant clarification of doubt
- Guaranteed to run
About Course
The CompTIA SecAI+ (v1) Certification Course from InfosecTrain equips cybersecurity professionals with the knowledge required to secure AI-enabled systems and defend against AI-driven threats. The course begins with basic AI concepts related to cybersecurity (17%), ensuring learners understand machine learning, deep learning, natural language processing, and automation, strictly from a security and risk perspective, not model development.
The core of the program focuses on securing AI systems (40%), including protection of AI models, training data, inference pipelines, and deployment environments across cloud, on-premises, and hybrid infrastructures. Learners explore defenses against adversarial machine learning, data poisoning, and model exploitation attacks. The training then covers AI-assisted security (24%), demonstrating how AI can enhance threat detection, automate security workflows, improve incident response, and support continuous monitoring within SOC and security operations.
Finally, the course addresses AI governance, risk, and compliance (19%), enabling professionals to understand global regulatory expectations, integrate GRC practices into AI initiatives, and ensure responsible and ethical use of AI, aligned with frameworks such as GDPR and NIST AI Risk Management Framework (AI RMF).
Course Curriculum
- Basic AI concepts related to cybersecurity (17%)
- Explain core AI principles and terminology: Machine learning, deep learning, natural language processing, and automation.
- Identify AI applications in security: Use cases for AI in threat detection, defense, and security operations.
- Recognize AI-driven threats: Automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.
- Securing AI systems (40%)
- Implement security controls: Protect AI systems, data, and models using robust technical safeguards.
- Secure AI deployment environments: Apply best practices across on-premises, cloud, and hybrid infrastructures.
- Mitigate adversarial risks: Defend against attacks targeting AI models, data pipelines, and inference layers.
- AI-assisted security (24%)
- Enhance detection and response: Use AI-driven tools to identify anomalies, detect threats, and accelerate incident remediation.
- Automate security workflows: Integrate AI for event triage, alert correlation, and response orchestration.
- Apply AI techniques in operations: Incorporate AI into threat modeling, behavior analysis, and continuous monitoring.
- AI governance, risk, and compliance (19%)
- Understand regulatory frameworks: Identify global governance requirements and their implications for AI adoption.
- Integrate GRC into AI projects: Incorporate governance, risk management, and compliance practices throughout the AI lifecycle.
- Ensure responsible AI use: Apply ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.
Target Audience
- Cybersecurity Analysts & Engineers
- SOC Analysts & Incident Responders
- Security Architects & Consultants
- Risk, GRC, and Compliance Professionals
- Cloud Security Professionals
- Security Leaders responsible for AI adoption
- Professionals securing AI-enabled systems
Pre-requisites
- It is recommended to have 3–4 years experience in IT, inclusive of 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent discipline.
Exam Details
| Exam Code | CY0-001 |
| Launch Date | February 17, 2026 |
| Number of Questions | 60 |
| Exam Pattern | Multiple-Choice and Performance-Based |
| Exam Duration | 60 Minutes |
| Passing Score | 600 (on a Scale of 100–900) |
| Exam language | English |
Course Objectives
You will be able to:
- Explain core AI concepts and terminology relevant to cybersecurity
- Identify AI applications used in threat detection and security operations
- Recognize AI-driven threats, including adversarial and generative AI misuse
- Implement security controls to protect AI systems, data, and models
- Secure AI deployment environments across cloud, on-prem, and hybrid platforms
- Mitigate adversarial risks targeting AI pipelines and inference layers
- Apply AI-assisted techniques to improve detection, response, and monitoring
- Automate security workflows using AI-enabled tools
- Integrate governance, risk, and compliance into AI initiatives
- Ensure responsible, ethical, and compliant use of AI technologies
- Prepare confidently for the CompTIA SecAI+ (v1) certification exam
Vision
Goal
Skill-Building
Mentoring
Direction
Support
Success
Benefits of CompTIA SecAl+ Certification Training
AI + Cybersecurity Integrated Curriculum
Hands-On Risk & Threat Modeling for AI Systems
SOC-Focused AI Application Training
Career-Accelerator for AI Security Roles
Performance-Based Exam Preparation Framework
Average Salary
Average Salary
Hiring Companies
"Source: Indeed, Glassdoor"
Confused about the right course for yourself?
It was a very good experience with the team. The class was clear and understandable, and it benefited me in learning all the concepts and gaining valuable knowledge.
I loved the overall training! Trainer is very knowledgeable, had clear understanding of all the topics covered. Loved the way he pays attention to details.
I had a great experience with the team. The training advisor was very supportive, and the trainer explained the concepts clearly and effectively. The program was well-structured and has definitely enhanced my skills in AI. Thank you for a wonderful learning experience.
The class was really good. The instructor gave us confidence and delivered the content in an impactful and easy-to-understand manner.
The program helped me understand several areas I was unfamiliar with. The instructor was exceptionally skilled and confident in delivering content.
The program was well-structured and easy to follow. The instructor’s use of real-life AI examples made it easier to connect with and understand the concepts.
Frequently Asked Questions
What is CompTIA SecAI+ (CY0-001) certification?
The CompTIA SecAI+ (v1) Certification Training Course from InfosecTrain is a vendor-neutral, security-focused program designed to validate the skills required to identify, mitigate, and manage security risks introduced by Artificial Intelligence systems.
Who should take SecAI+ training?
The CompTIA SecAI+ training is ideal for:
- Cybersecurity Analysts & Engineers
- SOC Analysts & Incident Responders
- Security Architects & Consultants
- Risk, GRC, and Compliance Professionals
- Cloud Security Professionals
- Security Leaders responsible for AI adoption
- Professionals securing AI-enabled systems
What topics are covered in the CY0-001 exam?
The CY0-001 exam covers topics like basic AI concepts , securing AI systems, AI assisted security, AI governance, risk, and compliance and so much more.
Is this course aligned with the latest CompTIA SecAI+ exam objectives?
Yes, this course is aligned with the latest CompTIA SecAI+ exam objectives.
Does the training include exam preparation support?
Yes, the training does include exam preparation support.
Is SecAI+ suitable for security professionals working with AI systems?
Yes, SecAI+ is perfect for security professionals working with AI systems.
What are the prerequisites for CompTIA SecAI+ certification?
It is recommended to have 3–4 years experience in IT, inclusive of 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent discipline.
How does CompTIA SecAI+ support AI security and governance careers?
SecAI+ helps professionals build, validate, and signal specialized AI security and governance capabilities, which are increasingly in demand as AI becomes central to business operations.
