Comprehensive Video Course

CompTIA SecAI+ CY0-001

Take your AI security skills to the next level.

4533 already enrolled!

Course Detail

Comprehensive 68 lessons spanning 10 hours of training cover all CompTIA SecAI+ topics. Master AI security fundamentals and prepare confidently for exam success and real-world security challenges.

What You Will Learn ?

AI security fundamentals
Securing AI systems and models
AI-based risk and threats
Governance & compliance for AI
AI-assisted security operations
Responsible AI

Course Description

Level up your cybersecurity career by mastering the intersection of Artificial Intelligence and Security with the Netorkel’s ultimate CompTIA SecAI+ prep course. Master AI Security, Threats, and Governance with Industry-Recognized Certification.

Artificial Intelligence is transforming cybersecurity—and introducing new risks. CompTIA SecAI+ is the first certification designed to validate the skills needed to secure AI systems, manage AI-driven threats, and govern AI responsibly.
Networkel’s CompTIA SecAI+ training equips cybersecurity professionals, IT teams, and technology leaders with job-ready AI security knowledge, hands-on learning, and expert-led instruction aligned with the official CompTIA SecAI+ exam objectives.

Why Choose Networkel for CompTIA SecAI+ Training?

At Networkel, we don’t just teach certifications—we build capability.

✔ Trusted by 100.000+ students globally
✔ Authorized, exam-aligned curriculum
✔ Experienced instructors with real-world AI security expertise
✔ Practical, scenario-based learning
✔ Flexible delivery: instructor-led or corporate training
✔ Enterprise-ready and workforce-focused

Whether you’re securing AI models, managing AI risks, or aligning with emerging regulations, this course prepares you to lead confidently.

Why CompTIA SecAI+ Matters in Today’s Market ?

AI adoption is accelerating—and so are AI-related risks. Organizations now need professionals who can:

Secure AI systems against evolving threats
Ensure compliance with emerging AI regulations
Build trust in AI-driven decision-making

CompTIA SecAI+ validates these critical skills, helping you stay relevant, credible, and competitive in the cybersecurity job market.

Here is a sample lesson to provide insight into the quality and structure of our training :

Course Requirements

No advanced AI background is required—this course bridges the gap between security and artificial intelligence.

What You Will Learn ?

This training covers the complete AI security lifecycle, from development to deployment and governance.

Key learning outcomes :

✔ Understand AI fundamentals and machine learning concepts for security professionals
✔ dentify AI-specific threats, vulnerabilities, and attack vectors
✔ Secure AI models, data pipelines, and infrastructure
✔ Apply risk management, governance, and compliance principles for AI systems
✔ Address ethical considerations, bias, and privacy in AI
✔ Respond to and mitigate AI-driven cyberattacks

You’ll gain both technical insight and strategic awareness—skills employers are actively seeking.

Awesome Work
Killing it—strong momentum, flawless delivery
Hemanth J.
1 month ago
Solid Curriculum
Well-structured and hits all the key SecAI+ topics effectively
Kenneth N.
1 month ago
Valuable Content
After completing the training, I feel fully prepared for the SecAI+ exam
Ahmad K.
1 month ago

Target Audience

✔ Cybersecurity professionals seeking to specialize in AI security.
✔ AI and machine learning engineers.
✔ Security architects and governance specialists.
✔ Anyone passionate about protecting AI systems.

Don’t miss out on this opportunity to become a certified AI security expert. Enroll now in our CompTIA SecAI+ Masterclass and take the next step toward a future-proof career in cybersecurity. Your journey to mastering AI security starts here!

Course Content

68 lectures • 10 hours total length

Lecture 1 : Introduction to CompTIA SecAI+ Certification Exam

Lecture 2 : Types of AI

Lecture 3 : Model Training Techniques

Lecture 4 : Prompt Engineering

Lecture 5 : Data Processing

Lecture 6 : Data Types

Lecture 7 : Watermarking

Lecture 8 : Retrieval-Augmented Generation (RAG)

Lecture 9 : Business Use Case

Lecture 10 : Data Collection

Lecture 11 : Data Preparation

Lecture 12 : Model Development/Selection

Lecture 13 : Model Evaluation

Lecture 14 : Deployment

Lecture 15 : Validation

Lecture 16 : Monitoring and Maintenance

Lecture 17 : Feedback and Iteration

Lecture 18 : Human-Centric AI Design Principles

Lecture 19 : Open Worldwide Application Security Project (OWASP) Top 10

Lecture 20 : Massachusetts Institute of Technology (MIT) AI Risk Repository

Lecture 21 : MITRE Adversarial Threat Landscape for Artificial-Intelligence Systems (ATLAS)

Lecture 22 : Common Vulnerabilities and Exposures (CVE) AI Working Group

Lecture 23 : Model Controls

Lecture 24 : Gateway Controls

Lecture 25 : Guardrail Testing and Validation

Lecture 26 : Model Access

Lecture 27 : Data Access

Lecture 28 : Agent Access

Lecture 29 : Network / Application Programming Interface (API) Access

Lecture 30 : Encryption Requirements

Lecture 31 : Data Safety

Lecture 32 : Prompt Monitoring

Lecture 33 : Log Monitoring

Lecture 34 : Log Sanitization

Lecture 35 : Log Protection

Lecture 36 : Response Confidence Level

Lecture 37 : AI Cost Monitoring

Lecture 38 : Auditing for Quality and Compliance

Lecture 39 : Attacks

Lecture 40 : Compensating Controls

Lecture 41 : Tools / Applications

Lecture 42 : Use cases

Lecture 43 : AI-Generated Content (Deepfake)

Lecture 44 : Adversarial Networks

Lecture 45 : Reconnaissance

Lecture 46 : Social Engineering

Lecture 47 : Obfuscation

Lecture 48 : Automated Data Correlation

Lecture 49 : Automated Attack Generation

Lecture 50 : Scripting Tools

Lecture 51 : Document Synthesis and Summarization

Lecture 52 : Incident Response Ticket Management

Lecture 53 : Change Management

Lecture 54 : AI Agents

Lecture 55 : Continuous Integration and Continuous Deployment (CI/CD)

Lecture 56 : Organizational Structures

Lecture 57 : AI-related Roles

Lecture 58 : Responsible AI

Lecture 59 : Risks

Lecture 60 : Shadow IT

Lecture 61 : European Union (EU) AI Act

Lecture 62 : Organisation for Economic Co-operation and Development (OECD) Standards

Lecture 63 : ISO AI standards

Lecture 64 : National Institute of Standards and Technology (NIST AI Risk Management (AIRMF)

Lecture 65 : Corporate Policies

Lecture 66 : Third-Party Compliance Evaluations

Lecture 67 : Data Sovereignty

Lecture 68 : Recap

Success Stories Start Here…

Networkel’s CCNP Enterprise training exceeded all my expectations. Course provided invaluable insights, making it a top-tier resource in my certification journey. I’m confident and well-prepared, with my certification just around corner !
Ozgur Yuce
Network and Security Manager
Enrolling in Networkel’s courses was a pivotal step in advancing my career. Their Cisco certification training helped me achieve both my CCNA and CCNP with confidence. Detailed explanations and comprehensive guidance made complex topics manageable.
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Senior Network Engineer
I enrolled Networkel’s CompTIA Security+ course and earned my certification ! In-depth explanations and practical examples made complex cybersecurity concepts easy to grasp. Course was instrumental in my success, highly recommended.
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IT Technician
Networkel’s CCNA course broke down complex networking topics into simple, actionable lessons with plenty of hands-on examples. It gave me confidence and skills I needed to succeed, and I highly recommend it to anyone preparing for the CCNA.
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