The CompTIA SecAI+ (CY0-001) exam launched on February 17, 2026, and it's one of the first vendor-neutral certifications to sit squarely at the intersection of artificial intelligence and cybersecurity. If you're considering it, here's what the exam actually covers, what early test-takers are saying, and how to prepare effectively.
What Is SecAI+?
SecAI+ validates your ability to understand core AI concepts as they relate to cybersecurity, secure AI systems against threats, use AI tools to enhance security operations, and apply AI-specific governance frameworks. It's positioned for security professionals who need to work with AI systems — whether defending them, deploying them, or governing their use.
CompTIA recommends 3-4 years of general IT experience and 2+ years of hands-on cybersecurity experience before attempting this exam. Prior certifications like Security+, CySA+, or PenTest+ are recommended but not required.
Exam Format at a Glance
| Detail | Value | |--------|-------| | Exam Code | CY0-001 | | Questions | Up to 60 | | Question Types | Multiple-choice and performance-based | | Duration | 60 minutes | | Passing Score | 600 / 900 | | Exam Fee | $359 | | Delivery | Pearson VUE (in-person or OnVUE online) | | Launch Date | February 17, 2026 |
The tight ratio of 60 questions in 60 minutes is worth noting — that's roughly one minute per question. Early test-takers have reported that there is little time to deliberate, so familiarity with the material is essential.
The Four Domains
SecAI+ is organized into four domains with unequal weighting. Understanding this distribution is critical for allocating study time.
Domain 1: Basic AI Concepts Related to Cybersecurity (17%)
This domain covers foundational AI terminology and concepts that security professionals need to understand. Topics include machine learning types (supervised, unsupervised, reinforcement learning), neural network architectures, natural language processing, and how these technologies apply specifically to security use cases.
Don't underestimate this domain. While it carries the lowest weight, it provides the conceptual vocabulary you'll need for the other three domains. If you can't distinguish between a generative adversarial network and a convolutional neural network, you'll struggle with the more applied questions.
Domain 2: Securing AI Systems (40%)
This is the heaviest domain by far — nearly half the exam. It covers threat modeling for AI systems, adversarial attacks (evasion, poisoning, model extraction), data security for training pipelines, and technical controls for protecting AI infrastructure.
One early test-taker noted on Medium that this domain dominated the exam with practical depth, covering "threat modeling for AI, adversarial attacks, and data poisoning" in scenario-based questions rather than definition recall. You need to understand not just what data poisoning is, but how to detect it in a pipeline and what controls prevent it.
Key topics to study:
- Adversarial machine learning (evasion attacks, data poisoning, model inversion)
- Securing training data pipelines and model supply chains
- AI-specific vulnerability assessment and threat modeling
- Privacy-preserving techniques (differential privacy, federated learning)
- Securing model deployment environments
Domain 3: AI-Assisted Security (24%)
This domain covers how AI enhances traditional security operations — automated threat detection, AI-driven SIEM and SOAR capabilities, anomaly detection, and how to evaluate and validate AI security tools. It's the "using AI for defense" side of the equation.
Topics include:
- AI-powered threat detection and response
- Machine learning for malware analysis and classification
- Automated vulnerability scanning and prioritization
- AI in security orchestration and incident response
- Evaluating AI security tool output for accuracy and bias
Domain 4: AI Governance, Risk, and Compliance (19%)
Despite carrying the second-lowest weight at 19%, this domain has surprised test-takers with its difficulty. According to a test-taker who shared their experience on Medium, governance questions were "scenario-based" rather than simple policy recall. They noted that "knowing the difference between the EU AI Act's risk classification system and NIST's AI Risk Management Framework actually matters."
Key frameworks to know:
- EU AI Act risk classification (unacceptable, high, limited, minimal risk)
- NIST AI Risk Management Framework (AI RMF)
- OWASP AI Security guidelines
- AI ethics principles and responsible AI deployment
- Regulatory compliance for AI systems in different jurisdictions
What Early Test-Takers Say
Since SecAI+ is only a few months old, real exam experience reports are rare but valuable. One certified professional who shared a detailed account on Medium offered several insights:
The exam rewards practical thinking over memorization. Questions are scenario-based, presenting real-world situations where you must apply concepts rather than recall definitions. Rote memorization of AI terminology won't get you through.
Domain 4 (Governance) is harder than it looks. While it's only 19% of the exam, the questions require genuine understanding of framework differences and how regulations apply to specific AI deployment scenarios — not just knowing that the EU AI Act exists.
The 60-minute time limit is real. With up to 60 questions including performance-based items, time management is critical. The same test-taker cautioned that "you don't have time to deliberate on every item." If you're not confident on a question, flag it and move on.
Be careful with AI-generated study materials. Ironically for an AI certification, one test-taker found that AI-generated study content sometimes "confidently [blended] framework requirements incorrectly." Always verify study material against primary sources like the official CompTIA exam objectives and the actual regulatory texts.
Common Mistakes to Avoid
Based on the exam format and early test-taker feedback, here are the pitfalls that catch candidates off guard:
Treating it like Security+ with AI sprinkled in. SecAI+ is not a Security+ add-on. While foundational security concepts help, the exam tests AI-specific attack surfaces — model extraction, training data poisoning, prompt injection, adversarial examples — that don't appear on any other CompTIA exam. Study these as distinct topics, not extensions of traditional vulnerabilities.
Ignoring performance-based questions (PBQs). CompTIA includes PBQs that require you to interact with a simulated environment — configuring settings, analyzing output, or making decisions in context. These take longer than multiple-choice questions, and with only 60 minutes total, hitting a PBQ unprepared can eat into your time budget for the rest of the exam. Practice scenario-based exercises, not just Q&A recall.
Studying AI breadth instead of security depth. Domain 1 (Basic AI Concepts) is only 17% of the exam. Some candidates spend weeks learning general machine learning theory — gradient descent, backpropagation, hyperparameter tuning — when the exam cares about how these concepts create security vulnerabilities, not the math behind them. Focus on the security implications of each AI concept, not the AI theory itself.
Underestimating Domain 4's difficulty. At 19%, governance looks like an afterthought. It's not. The questions test applied reasoning about regulatory frameworks, not definition matching. You need to understand when the EU AI Act classifies a system as high-risk versus limited-risk and what obligations each classification triggers — not just that the Act exists.
How to Prepare
1. Start with the official exam objectives
Download the CY0-001 exam objectives from CompTIA's website. They list every topic you need to know, organized by domain. This is your study checklist.
2. Allocate time by domain weight
Given that Domain 2 (Securing AI Systems) is 40% of the exam, it should get roughly 40% of your study time. A common mistake is spending too much time on the conceptual AI basics in Domain 1 and not enough on the practical security applications in Domains 2 and 3.
Suggested time allocation:
- Domain 1 (AI Concepts): 15-20% of study time
- Domain 2 (Securing AI): 40-45% of study time
- Domain 3 (AI-Assisted Security): 20-25% of study time
- Domain 4 (Governance): 15-20% of study time
3. Study primary sources for governance
For Domain 4, read the actual framework documents rather than summaries:
- NIST AI RMF (AI 100-1)
- EU AI Act classification system
- OWASP Top 10 for AI/ML
4. Practice with scenario-based questions
Because the exam emphasizes applied knowledge over recall, practice questions that present scenarios and ask you to choose the best course of action are more valuable than flashcards.
5. Mind the clock
Practice under timed conditions. If you're spending more than 90 seconds on any single question during practice, you need to build more fluency with that topic area.
Who Should Get SecAI+?
SecAI+ is best suited for:
- Security analysts and engineers who work with or defend AI systems
- SOC analysts using AI-powered detection and response tools
- GRC professionals who need to assess AI-related risks
- IT professionals transitioning into AI security roles
If you already hold Security+ or CySA+, SecAI+ adds a differentiated AI security specialization. If you're more interested in the governance side without the deep technical security focus, consider the IAPP AIGP certification instead.
How SecAI+ Compares
SecAI+ occupies a unique position as a vendor-neutral AI security certification. The closest alternatives serve different audiences:
- IAPP AIGP focuses on AI governance and policy, not technical security controls
- ISACA CDPSE covers data privacy engineering broadly, not AI-specific threats
- Vendor certifications (from CrowdStrike, Palo Alto, etc.) focus on specific platforms, not cross-platform AI security concepts
For security professionals who need to understand AI threats and defenses without being locked into a single vendor's ecosystem, SecAI+ is currently the primary option.
Start Practicing Now
The best preparation for scenario-based exams is practice under realistic conditions. Our free SecAI+ practice questions cover all four domains with detailed explanations for every answer. Use them to identify which domains need more attention.
Review the complete SecAI+ exam details for scheduling and registration, check the SecAI+ study guide for a structured preparation plan, or grab the SecAI+ cheat sheet for quick reference during your final review.