900 premium practice questions. Architect-level scenarios. All 4 ISSAP domains. Aug 2025 exam outline aligned
Sub Category
- IT Certifications
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Objectives
- Secure AI systems using model guardrails, prompt firewalls, rate limits, token limits, access controls, and encryption across the full AI deployment lifecycle
- Analyse AI-specific attacks including prompt injection, model poisoning, jailbreaking, model theft, membership inference, and AI supply chain compromise
- Apply AI threat-modelling frameworks including OWASP LLM Top 10, OWASP ML Security Top 10, MITRE ATLAS, MIT AI Risk Repository, and CVE AI Working Group
- Leverage AI-enabled tools for vulnerability analysis, anomaly detection, automated penetration testing, incident management, and security task automation
- Implement AI monitoring and auditing controls for prompt monitoring, log sanitisation, hallucination detection, bias auditing, and confidence scoring
- Navigate AI governance and compliance frameworks including the EU AI Act, NIST AIRMF, ISO AI standards, OECD standards, and corporate AI policy enforcement
- Evaluate AI risks related to fairness, transparency, explainability, differential privacy, shadow AI, data leakage, IP exposure, and autonomous systems
- Build exam-day confidence through 900 scenario-based practice questions with premium explanations mapped to all four CompTIA SecAI+ CY0-001 exam domains
Pre Requisites
- A solid foundation in general IT concepts and basic cybersecurity principles is strongly recommended before starting these practice exams
- Familiarity with the CompTIA SecAI+ CY0-001 exam objectives is recommended — these practice tests are designed to validate and reinforce your existing study, not serve as a first introduction to the material
- Prior completion of a CompTIA SecAI+ study course, textbook, or structured learning programme is highly beneficial for getting the most value from these practice exams
- No specific certification is required, but holding or studying for CompTIA Security+ or CompTIA CySA+ will provide helpful background knowledge
- A general understanding of AI concepts — including machine learning, large language models, and neural networks — will help you engage with the scenario-based questions more effectively
- No software, lab environment, or special tools are needed — this is a practice exam course you can complete entirely within the Udemy platform
FAQ
- Q. How long do I have access to the course materials?
- A. You can view and review the lecture materials indefinitely, like an on-demand channel.
- Q. Can I take my courses with me wherever I go?
- A. Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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