CompTIA SecAI+ (CY0-001) Exam Preparation Course

Prepare for the CompTIA SecAI+ CY0-001 exam with focused training covering artificial intelligence security, AI-assisted cybersecurity operations, secure AI implementation and responsible AI governance.

The CompTIA SecAI+ certification is designed for experienced cybersecurity professionals who need to secure AI systems and use AI technologies effectively within modern security operations. This course combines structured lessons, realistic practice questions, performance-based scenarios and timed mock exams to help you prepare confidently.

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About the CompTIA SecAI+ CY0-001 Exam

The CY0-001 examination contains a maximum of 60 multiple-choice and performance-based questions. Candidates receive 60 minutes to complete the exam.

CompTIA recommends approximately three to four years of information technology experience, including at least two years of practical cybersecurity experience. Knowledge equivalent to CompTIA Security+, CySA+, PenTest+ or SecurityX can provide a useful foundation.

Candidates should always review the current requirements on the official CompTIA SecAI+ certification page before registering. CompTIA exams can be scheduled through the official Pearson VUE CompTIA testing portal.

Score and Pass Mark

The passing score for CompTIA SecAI+ CY0-001 is 600 on a scale of 100 to 900.

A scaled score is not the same as a simple percentage, so a score of 600 should not be interpreted as answering a fixed percentage of questions correctly. CompTIA does not publish the exact number of correct answers required because questions may be weighted differently.

With a maximum of 60 questions and a 60-minute time limit, candidates have approximately one minute per question. Performance-based questions may require additional time, making effective time management essential. Answer every question, flag difficult items for review and reserve time to revisit uncertain responses.

CY0-001 Exam Domains

Basic AI Concepts Related to Cybersecurity — 17%

Build an understanding of artificial intelligence, machine learning, deep learning, natural language processing, generative AI, large and small language models, transformers and generative adversarial networks.

You will also study supervised, unsupervised and reinforcement learning; fine-tuning; prompt engineering; retrieval-augmented generation; embeddings; vector storage; data provenance; data cleansing and human oversight throughout the AI lifecycle.

Securing AI Systems — 40%

This is the largest CY0-001 domain. It focuses on identifying and managing risks affecting AI models, data pipelines, applications, agents, APIs and supporting infrastructure.

Topics include prompt injection, jailbreaking, training-data poisoning, model inversion, model theft, membership inference, sensitive-data disclosure, insecure output handling, supply-chain compromise, excessive agency, denial-of-service attacks and integration abuse.

You will learn how to implement guardrails, prompt firewalls, LLM gateways, rate limits, input restrictions, least-privilege access, encryption, anonymization, data masking, logging and continuous monitoring.

Security approaches are reinforced through authoritative resources such as the OWASP Top 10 for Large Language Model Applications and MITRE ATLAS.

AI-Assisted Security — 24%

Learn how artificial intelligence can support anomaly detection, threat detection, alert correlation, vulnerability prioritization, phishing analysis, malware analysis, incident response, threat intelligence and security automation.

The course also addresses the limitations of AI-assisted security, including hallucinations, false positives, incomplete evidence and biased results. You will learn why human validation and accountable decision-making remain essential when using AI-generated recommendations.

AI Governance, Risk and Compliance — 19%

Develop the ability to assess AI risks, establish organizational policies, conduct impact assessments and select governance controls.

Coverage includes privacy, intellectual property, data residency, transparency, explainability, accountability, vendor risk, supply-chain risk, model inventories, auditability and continuous monitoring.

You will work with principles from the NIST AI Risk Management Framework, the NIST Generative AI Profile and other recognized AI governance standards.

Performance-Based Question Preparation

Practical exercises prepare you to:

• Threat-model an AI-enabled application

• Recognize prompt-injection and data-poisoning indicators

• Select appropriate AI guardrails and access controls

• Interpret AI security logs and alerts

• Evaluate AI-generated security recommendations

• Build AI-assisted incident-response workflows

• Select suitable governance and compliance controls

Who Should Take This Course?

This course is suitable for security analysts, SOC analysts, security engineers, AI security specialists, application security professionals, cloud security engineers, incident responders, threat hunters, governance professionals and security architects.

Because SecAI+ is an advanced expansion certification, learners should already understand general networking, systems administration and cybersecurity concepts before beginning the course.

Work Opportunities After Completing This Course

The skills developed through this course may support roles such as:

• AI Security Analyst

• AI Security Engineer

• Secure AI Specialist

• AI Red Team Analyst

• AI Governance and Risk Analyst

• AI-Augmented SOC Analyst

• Machine Learning Security Engineer

• Application Security Engineer for AI Systems

• AI Security Consultant

• Responsible AI Security Specialist

The U.S. Bureau of Labor Statistics provides additional information about the broader information security analyst career field.

Completing this preparation course does not award the official CompTIA SecAI+ certification, replace the official examination or guarantee employment. Candidates must register for and pass the authorized CY0-001 examination to earn the certification.

Prepare, Practise and Track Your Progress

Use the realistic practice questions, timed mock examinations, performance-based scenarios and detailed explanations to identify knowledge gaps and strengthen your exam readiness.

Visit the AIProctoredExams study guides for additional preparation resources or review how AIProctoredExams works before getting started.

CompTIA and SecAI+ are trademarks of CompTIA, Inc. AIProctoredExams is an independent training provider and is not affiliated with or endorsed by CompTIA.