CompTIA SecAI+ CY0-001 | Practice Exams 2026 | 900 Questions

Are You Ready to Prove You Can Secure the Future of AI?

Artificial intelligence is transforming cybersecurity — and with it, the expectations placed on security professionals. Organisations worldwide are deploying AI-powered tools, large language models, and automated threat systems at an unprecedented pace. But AI introduces a new class of risk: prompt injection attacks, model poisoning, data leakage, adversarial manipulation, and governance challenges that traditional security frameworks were never designed to handle.

CompTIA's brand-new SecAI+ (CY0-001) certification validates that you understand how to secure AI systems, leverage AI for defence, and govern AI responsibly within an enterprise environment. It is one of the first vendor-neutral certifications built specifically at the intersection of artificial intelligence and cybersecurity — and earning it signals to employers that you are equipped to protect the next generation of technology infrastructure.

This course gives you the most comprehensive practice exam preparation available — 900 expertly crafted questions across 6 full-length practice tests — designed to build your confidence, sharpen your critical thinking, and ensure you walk into exam day fully prepared.

What Is This Course?

This is a dedicated practice exam course for the CompTIA SecAI+ CY0-001 (Version 1) certification. It is not a lecture series or a video course. It is a focused, exam-simulation experience designed to:

• Test your knowledge across all four official exam domains

• Reveal knowledge gaps before you sit the real exam

• Build exam stamina by exposing you to realistic question volume and complexity

• Reinforce learning through detailed, premium-quality explanations for every single answer option

You will receive 6 complete practice exams, each containing 150 questions, for a total of 900 unique practice questions. Every question is mapped to the official CY0-001 exam objectives and weighted to match the real exam's domain distribution.

Who Is This Course For?

This course is built for anyone preparing to take — and pass — the CompTIA SecAI+ certification exam, including:

• IT professionals expanding their skill set into AI security

• Cybersecurity analysts and engineers who need to understand AI-specific threats and controls

• Security architects designing or evaluating AI deployments

• GRC professionals responsible for AI governance, risk assessment, and compliance

• Career changers entering cybersecurity through the AI security pathway

• Certification candidates who have completed their study material and want rigorous exam-level practice before test day

• SOC analysts, penetration testers, and incident responders who encounter AI tools and AI-generated threats in their daily work

Whether you are an experienced security professional or someone transitioning into the field, these practice exams will stress-test your readiness and identify exactly where to focus your remaining study time.

What Will You Learn?

By working through all 900 questions and studying the detailed explanations, you will build and validate competence in:

• Understanding core AI concepts — including machine learning, deep learning, transformers, GANs, NLP, LLMs, SLMs, and training techniques — within a cybersecurity context

• Applying prompt engineering principles and recognising the security implications of system prompts, user prompts, and prompt templates

• Protecting training data through proper data lineage, provenance, cleansing, verification, augmentation, and balancing

• Implementing retrieval-augmented generation (RAG) securely, including vector storage and embedding protection

• Securing every phase of the AI lifecycle — from business use case alignment through deployment, monitoring, and iteration

• Using AI threat-modelling resources including the OWASP LLM Top 10, OWASP ML Security Top 10, MITRE ATLAS, MIT AI Risk Repository, and CVE AI Working Group

• Implementing security controls such as model guardrails, prompt firewalls, rate limits, token limits, input quotas, modality limits, and endpoint access controls

• Enforcing access controls across model, data, agent, and network/API layers

• Applying data security controls — encryption in transit, at rest, and in use; data anonymisation; classification labels; redaction; masking; and minimisation

• Configuring monitoring and auditing for AI systems — prompt monitoring, log sanitisation, log protection, confidence scoring, bias auditing, hallucination detection, and AI cost monitoring

• Analysing evidence of AI-specific attacks — prompt injection, model poisoning, data poisoning, jailbreaking, input manipulation, model inversion, model theft, membership inference, AI supply chain attacks, transfer learning attacks, model skewing, output integrity attacks, backdoor attacks, Trojan attacks, insecure output handling, model denial of service, excessive agency, and overreliance

• Recommending compensating controls appropriate to each attack type

• Using AI-enabled security tools — IDE plug-ins, browser plug-ins, CLI plug-ins, chatbots, personal assistants, and Model Context Protocol (MCP) servers — for tasks including vulnerability analysis, anomaly detection, automated penetration testing, incident management, and threat modelling

• Understanding how AI enables and enhances attack vectors — deepfakes, impersonation, social engineering, reconnaissance, obfuscation, automated malware generation, and DDoS

• Automating security tasks with AI agents, scripting tools (low-code/no-code), CI/CD integration, software composition analysis, and automated deployment/rollback

• Explaining organisational governance structures for AI — AI Centre of Excellence models, AI-related roles (data scientist, AI architect, ML engineer, AI security architect, AI governance engineer, AI auditor, and others), and AI policies and procedures

• Evaluating risks associated with AI — fairness, reliability, transparency, differential privacy, explainability, inclusiveness, accountability, intellectual property risks, autonomous system risks, and shadow AI

• Navigating compliance frameworks — EU AI Act, OECD standards, ISO AI standards, NIST AI Risk Management Framework (AIRMF), corporate policies (sanctioned versus unsanctioned AI, private versus public models, sensitive data governance), third-party compliance evaluations, and data sovereignty

Official Exam Information — CompTIA SecAI+ CY0-001 - V1

Understanding the exam structure is essential for effective preparation.

Here are the key details:

Exam Number: CY0-001 V1

Number of Questions: Maximum of 60

Question Types: Multiple-choice and performance-based

Exam Duration: 60 minutes

Passing Score: 600 (on a scale of 100–900)

Recommended Experience: 3–4 years of IT experience and approximately 2 years of hands-on cybersecurity experience

Exam Domains and Weighting:

• 1.0 Basic AI Concepts Related to Cybersecurity — 17%

• 2.0 Securing AI Systems — 40%

• 3.0 AI-assisted Security — 24%

• 4.0 AI Governance, Risk, and Compliance — 19%

Each of the 6 practice exams in this course mirrors this exact domain distribution, ensuring that the volume and emphasis of your practice accurately reflects what you will face on exam day.

Why This Practice Exam Course Is Valuable

Passing a CompTIA certification exam is not simply about memorising facts. It requires the ability to analyse scenarios, evaluate trade-offs, and select the best course of action under time pressure. That is exactly the skill set these practice exams are designed to develop.

Here is what sets this course apart:

900 unique, scenario-based questions. No filler. No recycled question stems. No trivial recall items. Every question is written to challenge your ability to apply knowledge — not just remember it.

Exact domain weighting in every practice exam. Each 150-question test allocates questions precisely according to the official blueprint: 26 questions for Domain 1 (17%), 60 questions for Domain 2 (40%), 36 questions for Domain 3 (24%), and 28 questions for Domain 4 (19%).

Premium-depth explanations for every answer option. This is not a course where you see "A is correct" and nothing else. Every correct answer includes a detailed explanation of 6–10 sentences covering the security reasoning, risk implications, objective alignment, and enterprise context. Every incorrect answer includes 3–6 sentences explaining precisely why it is wrong, what misconception it targets, and how it contrasts with the correct approach.

Calibrated difficulty distribution. Each practice exam includes approximately 20% easy questions, 50% moderate questions, and 30% challenging questions — reflecting the range of difficulty you should expect on the actual exam. Challenging questions involve multi-layer AI attack analysis, threat-model mapping, control trade-off decisions, data governance evaluation, and compliance scenario analysis.

Complete uniqueness across all 6 sets. No prompt injection scenario is repeated across exams. No guardrail storyline is recycled. No compliance case study is reworded and reused. Each of the 6 practice tests presents entirely fresh scenarios and contexts.

Skills Covered in This Course

The questions in this course cover the full breadth of the CompTIA SecAI+ CY0-001 exam objectives, including:

• AI types and techniques — generative AI, machine learning, statistical learning, transformers, deep learning, GANs, NLP, LLMs, and SLMs

• Model training techniques — supervised learning, unsupervised learning, reinforcement learning, federated learning, fine-tuning, epochs, pruning, and quantisation

• Prompt engineering — system prompts, user prompts, zero-shot, one-shot, multi-shot prompting, system roles, and templates

• Data security for AI — data cleansing, verification, lineage, integrity, provenance, augmentation, balancing, watermarking, RAG, vector storage, and embeddings

• AI lifecycle security — business use case alignment, data collection, preparation, model development, evaluation, deployment, validation, monitoring, feedback, and human-centric design principles

• AI threat modelling — OWASP LLM Top 10, OWASP ML Security Top 10, MITRE ATLAS, MIT AI Risk Repository, CVE AI Working Group, and threat-modelling frameworks

• Security controls for AI — model evaluation, model guardrails, prompt templates, prompt firewalls, rate limits, token limits, input quotas, modality limits, endpoint access controls, and guardrail testing

• Access controls — model access, data access, agent access, and API access

• Data security controls — encryption (in transit, at rest, in use), anonymisation, classification labels, redaction, masking, and minimisation

• AI monitoring and auditing — prompt monitoring, log monitoring, log sanitisation, log protection, response confidence levels, rate monitoring, AI cost monitoring, hallucination detection, accuracy auditing, bias and fairness assessment, and access auditing

• AI attack analysis — prompt injection, model poisoning, data poisoning, jailbreaking, input manipulation, backdoor attacks, Trojan attacks, model inversion, model theft, membership inference, AI supply chain attacks, transfer learning attacks, model skewing, output integrity attacks, insecure output handling, model DoS, sensitive information disclosure, insecure plug-in design, excessive agency, overreliance, and circumventing AI guardrails

• Compensating controls — prompt firewalls, model guardrails, access controls, data integrity controls, encryption, prompt templates, rate limiting, and least privilege

• AI-enabled security tools — IDE plug-ins, browser plug-ins, CLI plug-ins, chatbots, personal assistants, and MCP servers for signature matching, code quality, vulnerability analysis, automated pen testing, anomaly detection, pattern recognition, incident management, threat modelling, fraud detection, translation, and summarisation

• AI-enhanced attack vectors — deepfakes, impersonation, misinformation, disinformation, adversarial networks, reconnaissance, social engineering, obfuscation, automated data correlation, and automated attack generation

• Security automation with AI — scripting tools (low-code/no-code), document synthesis, incident response ticket management, change management, AI agents, and CI/CD integration (code scanning, SCA, unit testing, regression testing, model testing, automated deployment/rollback)

• AI governance — AI Centre of Excellence, AI policies and procedures, and AI-related roles

• AI risk — responsible AI principles (fairness, reliability, safety, transparency, privacy, security, differential privacy, explainability, inclusiveness, accountability, consistency, awareness training), bias, data leakage, reputational loss, model performance risks, IP risks, autonomous system risks, and shadow AI

• AI compliance — EU AI Act, OECD standards, ISO AI standards, NIST AIRMF, corporate policies, third-party compliance evaluations, and data sovereignty

How the Practice Questions Are Designed

Every question in this course is crafted following professional exam design principles:

Scenario-driven format. The majority of questions present a realistic enterprise scenario — a security team responding to an incident, an architect designing a deployment, a governance committee evaluating risk — and then ask you to identify the most appropriate response. This mirrors the decision-making complexity of the actual CompTIA exam.

Action-oriented stems. Questions use phrasing consistent with CompTIA's exam style: "Which of the following is the MOST appropriate control?", "What should the security team do FIRST?", "Which mitigation BEST addresses this risk?", "What is the PRIMARY concern?"

Four answer options with one best answer. Every question includes exactly four plausible answer choices. There are no "all of the above" or "none of the above" options. Distractors are designed to represent common misconceptions, partially correct approaches, or controls that would be appropriate in a different context — exactly as you will encounter on the real exam.

Objective-mapped content. Every question is aligned to a specific sub-objective within the CY0-001 exam blueprint, ensuring comprehensive coverage across all testable topics.

What Makes This Course Different from Low-Quality Question Dumps

The certification preparation market is filled with low-effort question banks that do more harm than good. Here is how this course differs:

No memorisation traps. These questions test understanding, not recall. You will not find definition-matching questions that can be answered by memorising a glossary. Instead, you will encounter scenarios that require you to synthesise knowledge and make informed decisions.

No recycled content. All 900 questions are original. They are not scraped from forums, not reworded from free online quizzes, and not recycled between practice sets.

Explanations that teach. The explanation for each answer option is written to function as a mini-lesson. If you get a question wrong, the explanation tells you exactly why your choice was incorrect and exactly why the correct answer is right — with enough depth and context to reinforce the underlying concept.

Structural integrity. Every practice exam follows the official domain weighting. Every file is formatted for seamless platform delivery. Every question has been validated for technical accuracy, terminology correctness, and blueprint alignment.

Study and Exam Preparation Benefits

Incorporating these practice exams into your study plan offers several strategic advantages:

Identify weak areas early. After completing your first practice exam, you will have a clear picture of which domains need additional study. This allows you to allocate your remaining preparation time efficiently rather than reviewing material you already know.

Build exam-day stamina. The actual SecAI+ exam gives you 60 minutes for up to 60 questions. Practising with 150-question sets trains you to maintain focus, manage time, and sustain analytical thinking over extended periods. If you can handle 150 questions, 60 will feel manageable.

Develop pattern recognition. After working through hundreds of scenario-based questions, you will begin to recognise the patterns CompTIA uses to construct questions and distractors. This pattern recognition translates directly into faster, more confident decision-making on exam day.

Reinforce through repetition. Six separate practice exams means you encounter each major topic multiple times, in different contexts and scenarios. This spaced exposure strengthens long-term retention far more effectively than reading the same study guide repeatedly.

Benchmark your readiness. Use your practice exam scores to gauge whether you are ready to schedule your certification attempt. If you are consistently scoring above 80% across multiple practice exams, you are likely well-prepared for the real thing.

Career Relevance and Job-Role Alignment

The CompTIA SecAI+ certification is designed for professionals operating at the intersection of AI and cybersecurity. Earning this credential — and demonstrating the competence these practice exams help you build — positions you for roles including:

• AI Security Analyst — monitoring and protecting AI systems against adversarial threats

• AI Security Architect — designing secure AI deployment architectures and selecting appropriate controls

• Security Operations Centre (SOC) Analyst — leveraging AI-powered detection and response tools

• Cybersecurity Engineer — implementing technical controls for AI systems including guardrails, prompt firewalls, and access controls

• GRC Analyst / AI Risk Analyst — evaluating AI deployments against regulatory frameworks and organisational policies

• AI Governance Engineer — developing and enforcing policies for responsible AI use

• Penetration Tester — understanding AI-specific attack surfaces and testing AI system resilience

• Incident Responder — investigating AI-related security incidents including prompt injection campaigns and model manipulation

• Machine Learning Engineer / MLOps Engineer — integrating security into the model development lifecycle

• IT Manager / Security Director — overseeing AI security strategy and compliance across the organisation

As organisations accelerate their adoption of AI technologies, the demand for professionals who understand both cybersecurity and AI-specific risks is growing rapidly. The SecAI+ certification validates this increasingly critical skill set.

What You Get in This Course

• 6 full-length practice exams (150 questions each)

• 900 total unique questions — no duplicates across any exam

• Detailed explanations for every answer option — correct and incorrect

• Exact official domain weighting in every practice test

• Scenario-based, exam-realistic question design

• Calibrated difficulty — easy, moderate, and challenging questions in every exam

• Complete coverage of all CY0-001 V1 exam objectives

Enrol Today and Take Control of Your Exam Preparation

You have studied the material. You have reviewed the objectives. Now it is time to put your knowledge to the test — in a controlled, low-stakes environment where mistakes become learning opportunities instead of exam failures.

900 questions. 6 practice exams. Every domain. Every objective. Premium explanations.

Stop wondering whether you are ready. Start proving it. Enrol now and begin your first practice exam today.

Disclaimer

This course is independently created for exam preparation purposes. It is not affiliated with, endorsed by, or associated with CompTIA, Inc. or any of its subsidiaries. CompTIA® and SecAI+® are registered trademarks of CompTIA, Inc. All exam objectives, domain structures, and exam details referenced in this course are based on publicly available information provided by CompTIA for the CY0-001 V1 examination. This course is designed to supplement — not replace — official study materials and hands-on experience.