CompTIA SecAI+ Certification Study Guide (Exam CY0-001): Complete 2026 Edition: Master AI Cybersecurity from Fundamentals Through Governance — 160+ ... Cybersecurity Certification Series)

The CompTIA SecAI+ exam (CY0-001) launched in February 2026 — and the demand for AI security professionals has never been higher.If you're a cybersecurity practitioner ready to prove you can secure AI systems, govern their deployment, and defend against AI-driven threats, this is the study guide built for how you actually need to prepare.Written by a senior cybersecurity professional with over a decade of experience supporting mission-critical federal agencies — including DHS, FDA, and USCIS — this guide doesn't just cover the exam objectives. It teaches you to think through them the way a practitioner would on the job and on exam day.What's Inside This Guide:Complete CY0-001 coverage across all 16 chapters — mapped directly to every official exam domain and objective160+ exam-style practice questions with correct answers and clear explanations — built to train your decision-making, not just your recallKey Terms sections in every chapter so you never encounter undefined jargon on exam dayFour callout types throughout — Exam Tips, Common Mistakes, Look For, and Remember — so you know exactly what CompTIA is testing and where candidates get tripped upReal-world scenarios drawn from federal cybersecurity, enterprise AI deployments, and compliance environmentsFinal Exam Tips in decision-tree format at the end of each chapter — giving you a repeatable method for eliminating wrong answers under pressureDomains Covered Include:AI fundamentals and architectures (transformers, GANs, LLMs, SLMs) — Model training, optimization, and prompt engineering — Data pipelines, RAG, vector storage, and embeddings security — Secure AI lifecycle from business case through deployment — OWASP Top 10 for LLMs, MITRE ATLAS, STRIDE, and PASTA — Model controls, gateway security, and guardrail testing — Access management for models, data, agents, and APIs — Encryption, privacy-preserving techniques, and compliance (GDPR, HIPAA) — Prompt monitoring, log management, and performance auditing — Adversarial attacks: prompt injection, data poisoning, model theft, jailbreaking — AI tools integration, automation, and DevSecOps — AI-generated content threats, deepfakes, and infrastructure attacks — AI governance, risk management, NIST AI RMF, and EU AI Act — Vendor management and organizational AI policy Read more