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CompTIA SecAI+ (CY0-001) Practice Tests: 6 Full Exams 2026
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CompTIA SecAI+ (CY0-001) Practice Tests: 6 Full Exams 2026

360 exam-style questions across all 4 SecAI+ domains, timed like the real exam, with explanations for every answer
Last updated 10/2026
English

What you'll learn

  • Pass the CompTIA SecAI+ (CY0-001) exam with confidence using 6 full-length, domain-weighted practice tests
  • Identify and mitigate AI-specific attacks such as prompt injection, data poisoning, model theft and excessive agency
  • Apply AI threat-modeling resources including OWASP LLM Top 10, OWASP ML Top 10 and MITRE ATLAS
  • Implement security, access, data, monitoring and auditing controls for AI systems
  • Use AI-enabled tools and agents to automate and enhance security operations safely
  • Explain AI governance structures, responsible-AI principles and frameworks such as the EU AI Act and NIST AI RMF

Included in This Course

360 questions
  • CompTIA SecAI+ (CY0-001) Full Exam60 questions
  • CompTIA SecAI+ (CY0-001) Full Exam60 questions
  • CompTIA SecAI+ (CY0-001) Full Exam60 questions
  • CompTIA SecAI+ (CY0-001) Full Exam60 questions
  • CompTIA SecAI+ (CY0-001) Full Exam60 questions
  • CompTIA SecAI+ (CY0-001) Full Exam60 questions

Description

Pass the CompTIA SecAI+ (CY0-001) exam on your first attempt.

This course gives you six full-length practice tests built to the official CY0-001 exam blueprint. Every test has 60 questions and a 60-minute time limit, matching the real exam, and every question is weighted across the four official domains exactly as CompTIA weights them: Domain 1, Basic AI Concepts Related to Cybersecurity (17%); Domain 2, Securing AI Systems (40%); Domain 3, AI-assisted Security (24%); and Domain 4, AI Governance, Risk, and Compliance (19%).

What you get: six complete practice exams with 360 unique questions and no repeats between tests; a detailed explanation for every question that tells you why the correct answer is right and why each distractor is wrong; multiple-choice and multi-select items that mirror the style of the real exam; every question tagged by domain, so your results page shows exactly which domain to study next; a welcome video that walks you through the exam format, scoring and a proven study plan; and unlimited retakes with lifetime access, including updates as the exam evolves.

Topics covered in depth: AI and machine learning fundamentals (supervised, unsupervised and reinforcement learning, LLMs and SLMs, transformers, GANs, fine-tuning, pruning, quantization and prompt engineering); data security for AI (lineage, provenance, integrity, cleansing, watermarking, retrieval-augmented generation, vector stores and embeddings); the AI life cycle and human-centric design; AI threat-modeling resources (OWASP Top 10 for LLM Applications, OWASP ML Security Top 10, MITRE ATLAS, MIT AI Risk Repository, CVE AI Working Group); security controls for AI systems (guardrails, model evaluation, prompt templates, prompt firewalls, rate limits, token limits, quotas, modality limits and endpoint access controls); access control for models, data, agents, networks and APIs; data security controls (encryption in transit, at rest and in use; anonymization, classification, redaction, masking and minimization); monitoring and auditing (prompt and response monitoring, log sanitization, response confidence, rate and cost monitoring, hallucination, accuracy, bias and access audits); attack analysis and compensating controls (prompt injection, jailbreaking, data and model poisoning, model inversion, model theft, membership inference, AI supply-chain attacks, model denial of service, insecure output handling and excessive agency); AI-enabled security tools (IDE, browser and CLI plug-ins, chatbots, personal assistants and Model Context Protocol servers); AI use cases in security (anomaly detection, vulnerability analysis, automated penetration testing, incident management, threat modeling, fraud detection and summarization); how AI enhances attacks (deepfakes, AI-accelerated reconnaissance and social engineering, obfuscation, automated data correlation and automated attack generation); automating security tasks with AI (low-code scripting, document synthesis, ticket and change management, AI agents, and AI in CI/CD); AI governance (AI Center of Excellence, policies and procedures, and AI roles from data scientist to AI auditor); responsible-AI principles and practical risks; and compliance (EU AI Act, NIST AI RMF, ISO/IEC AI standards, OECD AI Principles, sanctioned vs. unsanctioned tools, private vs. public models, sensitive-data governance, third-party evaluation and data sovereignty).

How to use this course: take Practice Test 1 as a baseline. Read every explanation, including the ones you got right. Study your weakest domain, then move to the next test. When you are consistently scoring above 85 percent across all six tests, you are ready to book the real exam.

About your instructor: Professor Basta is a professor, author and musician who has taught cybersecurity, computer science and mathematics for three decades, consults on cybersecurity for government agencies, and has authored or co-authored more than 200 books. These questions are written the way exam questions are actually written: scenario-based, with plausible distractors, and with the BEST, FIRST and MOST wording you will face on test day.

Enroll today and walk into your SecAI+ exam with confidence. This course is not affiliated with, endorsed by, or sponsored by CompTIA. CompTIA and SecAI+ are trademarks of CompTIA, Inc.

Who this course is for:

  • Anyone preparing to take the CompTIA SecAI+ (CY0-001) certification exam
  • Security analysts, engineers, architects and GRC professionals who need to secure and govern AI systems
  • IT professionals, students and career changers adding AI security skills to their resume