About this ebook
In CompTIA SecAI+ Study Guide: Exam CY0-001, veteran cybersecurity and AI professionals Mike Chapple and Fred Nwanganga deliver easy-to-follow coverage of the security concepts critical to AI use and development. You’ll examine basic AI concepts as they relate to cybersecurity, how to secure AI systems, AI-assisted cybersecurity techniques, and AI governance, risk, and compliance issues necessary for working professionals in a variety of technical roles.
This book provides authoritative discussions of the relevant issues you need to understand before you start a new career – or advance in your current one – in cybersecurity, with efficient and accurate content. You’ll also find:
- Three custom practice exams that get you ready to succeed on your first try at the CY0-001 and help you overcome test anxiety
- Hundreds of review questions that measure your readiness for the certification exam, help you retain and remember key concepts, and identify knowledge gaps you need to address before you take the SecAI+ exam
- Complimentary access to the online Sybex learning environment, complete with hundreds of additional practice questions (including two full-length practice exams), flashcards, and a glossary of key terms, all supported by Wiley's support agents who are available 24x7 via email or live chat to assist with access and login questions
Perfect for everyone planning to take the CompTIA CY0-001 exam or interested in pursuing a higher-level certification like the SecurityX, CISSP, or CISA, the CompTIA SecAI+ Study Guide is also a must-read for working cybersecurity professionals who want to brush up on AI-specific concepts and for everyone who’s ever wondered if IT security is right for them.
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ABOUT THE AUTHORS
MIKE CHAPPLE, PhD, Data+ Security+, CISSP, is the author of the bestselling CompTIA Security+ Study Guide, the CompTIA CySA+ Study Guide, and the CISSP ISC2 Certified Information Systems Security Professional Official Study Guide.
FRED NWANGANGA, PhD, is a data scientist and professor in the IT, Analytics, and Operations Department within the University of Notre Dame Mendoza College of Business. He teaches courses in Python, Machine Learning, Generative AI, and Unstructured Data Analytics. He is also the author of the CompTIA DataX (now known as DataAI) study guide and several LinkedIn Learning courses in machine learning and AI.
