


Latest Course Updates & Alignment Audit Trail
June 2026 | Initial Release
Course launched for CompTIA SecAI+ (V1) CY0-001 certification preparation.
Practice tests aligned with the official CompTIA SecAI+ exam details and published exam objective domains.
Questions designed around AI security, securing AI systems, AI-assisted security operations, AI governance, risk, compliance, and responsible AI adoption.
Added exam-style explanations to help learners understand the reasoning behind each correct and incorrect option.
Course content will be reviewed periodically against the official CompTIA SecAI+ certification page and exam objectives.
CompTIA SecAI+ CY0-001 Practice Exams | AI Security Prep
Prepare confidently for the CompTIA SecAI+ (V1) CY0-001 certification exam with realistic, exam-style practice tests designed to strengthen your understanding of AI security, cybersecurity operations, governance, risk, compliance, and responsible AI integration.
CompTIA SecAI+ is focused on helping cybersecurity and IT professionals understand how artificial intelligence can be secured, governed, responsibly integrated, and safely used within modern cybersecurity operations. This practice-test course is designed to help you validate your readiness, identify weak areas, and build the confidence needed before attempting the real exam.
This course is ideal for learners who already have foundational IT and cybersecurity knowledge and want focused practice for the SecAI+ CY0-001 exam.
What Makes This Practice Test Course Valuable?
This course is designed to go beyond simple memorization. Each practice question is written to test your understanding of realistic security scenarios involving artificial intelligence, AI-enabled cyber threats, AI system protection, compliance requirements, and AI-assisted security workflows.
You will practice questions that help you evaluate:
How AI concepts apply to cybersecurity environments
How to secure AI models, data, infrastructure, and deployment environments
How adversarial attacks, automated malware, phishing, and generative AI misuse can affect security posture
How AI can support threat detection, alert correlation, incident response, and security automation
How governance, risk, compliance, ethics, and responsible AI practices apply across the AI lifecycle
How AI security fits into cloud, hybrid, DevSecOps, and enterprise security strategies
Every question is created with a certification-focused mindset so that learners can practice exam-style thinking, eliminate wrong options, and improve decision-making under timed conditions.
Official Exam Details
This course is designed for the following certification exam:
Certification: CompTIA SecAI+
Exam Version: V1
Exam Series Code: CY0-001
Launch Date: February 17, 2026
Number of Questions: Maximum of 60
Question Types: Multiple-choice and performance-based questions
Exam Duration: 60 minutes
Passing Score: 600 on a scale of 100–900
Language: English
Recommended Experience: 3–4 years in IT and 2+ years hands-on cybersecurity; Security+, CySA+, PenTest+, or equivalent recommended
Retirement: Estimated 3 years after launch
SecAI+ (V1) Exam Objectives Summary
The official CompTIA SecAI+ (V1) exam objectives summary includes the following domains:
Basic AI concepts related to cybersecurity — 17%
This area focuses on core AI principles, terminology, machine learning, deep learning, natural language processing, automation, AI security use cases, and AI-driven threats such as automated phishing, polymorphic malware, adversarial machine learning, and malicious use of generative AI.
Securing AI systems — 40%
This is the largest exam domain. It focuses on protecting AI systems, data, models, pipelines, infrastructure, deployment environments, and inference layers. Learners should understand how to apply technical safeguards and mitigate adversarial risks across on-premises, cloud, and hybrid environments.
AI-assisted security — 24%
This domain focuses on using AI-driven tools to improve security operations. Topics include anomaly detection, threat detection, incident remediation, workflow automation, event triage, alert correlation, response orchestration, threat modeling, behavior analysis, and continuous monitoring.
AI governance, risk, and compliance — 19%
This domain focuses on regulatory requirements, AI governance, risk management, compliance practices, responsible AI use, ethical guidelines, legal standards, and industry frameworks such as GDPR and NIST AI RMF.
Who Should Take This Course?
This practice-test course is suitable for:
Cybersecurity professionals preparing for the CompTIA SecAI+ CY0-001 exam
Security analysts who want to understand AI-assisted security operations
SOC analysts, incident responders, and threat detection professionals
Cloud security, DevSecOps, and platform security professionals working with AI-enabled systems
AI governance, risk, and compliance professionals
IT professionals with Security+, CySA+, PenTest+, or equivalent knowledge who want to move into AI security
Learners who want exam-style practice before booking the real SecAI+ certification exam
What You Will Practice
By completing these practice exams, you will test your knowledge of:
AI security fundamentals
AI terminology and cybersecurity use cases
AI-driven threats and attack techniques
Securing AI models, data, pipelines, and infrastructure
AI deployment risks across cloud, hybrid, and enterprise environments
Adversarial machine learning and model security
Generative AI misuse and security controls
AI-assisted detection and response
Security automation and workflow orchestration
AI governance and responsible AI practices
Risk management and compliance expectations
Legal, ethical, and regulatory considerations for AI adoption
Recommended Way to Use This Course
For best results:
Take the first practice test to assess your current readiness.
Review every explanation carefully, including the incorrect options.
Revisit weak domains based on your score and question review.
Retake the practice tests after studying the areas where you scored low.
Use the official CompTIA SecAI+ certification page and exam objectives as your final reference before the real exam.
Practice under timed conditions to improve speed, accuracy, and exam confidence.
Exam Preparation Guidelines
The real SecAI+ exam may include scenario-based and performance-based questions, so do not rely only on memorizing definitions. Focus on understanding how AI security decisions are made in practical cybersecurity environments.
While preparing, pay special attention to:
The difference between securing traditional systems and securing AI systems
The role of data protection, model protection, and infrastructure protection in AI security
The impact of adversarial attacks on AI models and pipelines
How AI can both improve and increase cybersecurity risk
Governance and compliance requirements across the AI lifecycle
Responsible AI, ethical AI, privacy, transparency, and legal considerations
How AI can support SOC operations, threat detection, and incident response
Use this practice-test course as a readiness validation tool, not as a replacement for official CompTIA resources.
Important Disclaimer
This course is an independent practice-test course and is not affiliated with, endorsed by, sponsored by, or approved by CompTIA. CompTIA, SecAI+, and related certification names are trademarks of CompTIA. The questions in this course are original practice questions created for learning and exam preparation purposes only. They are not real exam questions or exam dumps.
Learners are encouraged to review the official CompTIA SecAI+ certification page and official exam objectives before scheduling the actual exam.
Final Note
AI is becoming a critical part of cybersecurity operations, but it also introduces new risks around data, models, infrastructure, governance, compliance, and responsible use. The CompTIA SecAI+ CY0-001 certification is designed for professionals who want to build credibility in this emerging AI security space.
Use these practice exams to measure your readiness, strengthen your weak areas, and approach the SecAI+ exam with confidence.