CompTIA SecAI+

Exam Code: CY0-001
Duration: 3 days
Private in-house training

Apart from public, instructor-led classes, we also offer private in-house trainings for organizations based on their needs. Call us at +852 2116 3328 or email us at [email protected] for more details.

Key Skills You’ll Learn
  • Apply AI concepts to strengthen your organization’s cybersecurity posture.
  • Secure AI systems using advanced controls and protections to safeguard data, models, and infrastructure.
  • Leverage AI technologies to automate workflows, accelerate incident response, and scale security operations.
  • Navigate global GRC frameworks to ensure ethical and compliant AI adoption across industries.
  • Defend against AI-driven threats like adversarial attacks, automated malware, and malicious use of generative AI.
  • Integrate AI securely into DevSecOps pipelines and enterprise security strategies.
Target Audience

This course is ideal for:
 

  • Security Analyst
  • SOC Analyst
  • Senior Systems Administrator
  • DevSecOps / CI/CD Engineer
  • Military Cyber Operations Specialist
  • Cloud Engineer
  • Penetration Tester / Security Consultant
  • Data Scientist / ML Engineer
  • Risk & Compliance Officer
Pre-requisites

Recommended experience: 3–4 years in IT, inclusive of 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent experience, and are looking to expand their skill set for evolving job roles in the context of AI technologies.

Course Outline

1.0 Summarizing AI and Data Concepts for Cybersecurity
 
2.0 Implementing Threat Modeling and Securing AI Systems
 
3.0 Installing Access Controls for AI
 
4.0 Distinguishing AI-Related Threats and Compensating Controls
 
5.0 Leveraging AI in Security and Understanding Its Misuse
 
6.0 Understanding AI Governance, Risk, and Compliance
 
A.0 SecAI+ (CY0-001) Practice Exams

Exam details
  • Exam version: V1
  • Exam series code: CY0-001
  • Duration: 60 minutes
  • Languages: English
  • Number of questions: Maximum of 60, multiple-choice and performance-based
  • Passing score: 600 (on a scale of 100–900)

 
 
Exam objectives summary:

  • Basic AI concepts related to cybersecurity (17%)
  • Securing AI systems (40%)
  • AI-assisted security (24%)
  • AI governance, risk, and compliance (19%)
Master Trainer

Mr. Paul Wan
 

  • 36+ years leadership experience across banking, payments, and technology in Asia.
  • Convenor of the Cybersecurity Specialist Group at the Hong Kong Computer Society.
  • ICF Certified Professional Coach.
  • Executive coach & AI adoption advocate.

Search for a course