CompTIA Sec AI+ Practice Tests (CY1-001)

Disclosure: This course contains the use of artificial intelligence.

Updates made to the course:

8th October, 2025 - Updates made to Practice Test 1, 2, 3 and 4 as per the Beta exam CY1-001 domain changes.

Artificial intelligence is rapidly changing the world of cybersecurity, bringing both exciting opportunities and new risks. If you want to build your skills and confidence for the CompTIA Sec AI+ exam, this course is for you. These practice tests are carefully designed to help you feel ready for everything the real exam might throw your way, using questions and scenarios that reflect what you’ll actually see.

As you work through the course, you’ll get to grips with the fundamentals of AI, learn how machine learning and data science are shaping security, and understand the unique threats that come with these technologies. You’ll tackle detailed scenarios involving adversarial attacks, data poisoning, and privacy issues, and see how best practices and industry standards apply in the real world.

This course provides thorough preparation across 4 practice exams, each targeting key domains of the exam:

Test 1 – AI in Cybersecurity Foundations

• Covers AI types: Generative AI, ML, Deep Learning, NLP (LLMs, SLMs, GANs).

• Focuses on model training & tuning: validation, supervised/unsupervised, reinforcement, fine-tuning.

• Includes prompt engineering methods: system/user prompts, zero/one/multi-shot, templates, roles.

• Emphasizes data security & lifecycle: cleansing, integrity, RAG, watermarking, human-centric oversight.

Test 2 – Securing AI Systems

• Uses threat-modeling frameworks: OWASP LLM/ML Top 10, MIT ATLAS, MIT AI Risk Repo, CVE AI WG.

• Implements model, gateway, and data security controls with encryption & access management.

• Focuses on monitoring, auditing, and detecting bias, hallucinations, or fairness issues.

• Addresses AI attack types (prompt injection, poisoning, DoS) and compensating controls like guardrails, rate limits, and encryption.

Test 3 – AI-Enabled Security Operations

• Explores AI tools: IDE/CLI/browser plug-ins, chatbots, and assistants for cybersecurity tasks.

• Applies AI to threat modeling, vulnerability scanning, anomaly detection, and fraud detection.

• Examines AI-driven attack vectors: deepfakes, social engineering, obfuscation, DDoS, adversarial ML.

• Focuses on AI automation: scripting (low/no-code), incident response, CI/CD testing, and deployments.

Test 4 – AI Governance, Risk & Compliance

• Defines AI governance structures: Centers of Excellence, policies, and procedures.

• Identifies key AI roles: scientists, engineers, architects, auditors, and governance specialists.

• Addresses Responsible AI principles: fairness, transparency, safety, privacy, accountability.

• Covers compliance frameworks: EU AI Act, OECD, ISO, NIST AI RMF, and corporate data policies.

Exam Details:

• Questions Type: Mix of multiple-choice and performance-based formats

• Target Audience for the exam: Professionals with 3–4 years of IT experience with around 2 years in cybersecurity role

Who Should Take This Course:
This course is perfect for anyone looking to earn the CompTIA Sec AI+ certification, as well as IT professionals, security analysts, and anyone curious about how artificial intelligence is changing cybersecurity. Whether you’re new to these topics or want to sharpen your skills, you’ll find practical guidance and plenty of support along the way.

By the end, you’ll not only be well-prepared for the exam—you’ll also have the confidence and understanding to secure AI-powered systems in any organization.

Ready to get started? Join us and take your next step in the world of cybersecurity!