Wow! eBook
SecAI+ in Practice Securing Artificial Intelligence Systems with Hands-On Cybersecurity Labs: A Collegiate Textbook for CompTIA SecAI+ (CY0-001), AI … and TryHackMe-Based Applied Learning
Author(s): James Morgan (Author)
- Publisher: Independently published
- Publication Date: May 9, 2026
- Language: English
- Print length: 412 pages
- ISBN-10: B0H2345Y78
- ISBN-13: 9798196173790
Book Description
SecAI+ in Practice: Securing Artificial Intelligence Systems with Hands-On Cybersecurity Labs is a comprehensive collegiate textbook designed to prepare students, cybersecurity professionals, and certification candidates for the CompTIA SecAI+ (CY0-001) examination while simultaneously building practical AI security skills through hands-on learning. The manuscript presents AI security as a distinct cybersecurity discipline, emphasizing that modern organizations must secure AI systems not only as tools that assist defenders, but also as targets vulnerable to attack and as threats leveraged by adversaries. Structured around the four SecAI+ domains—Basic AI Concepts Related to Cybersecurity, Securing AI Systems, AI-Assisted Security, and AI Governance, Risk, and Compliance—the book blends foundational theory with real-world operational practice. Topics include adversarial machine learning, prompt injection, AI governance, model supply chain security, AI-assisted security operations, threat intelligence, incident response, and the secure deployment of generative AI and large language model applications. Throughout the manuscript, practical case studies, performance-based tasks, and TryHackMe-integrated laboratory exercises reinforce the technical material and connect academic learning to real operational environments.
What distinguishes this book is its strong emphasis on applied cybersecurity discipline and professional responsibility in the era of AI-enabled systems. Rather than treating AI as a futuristic abstraction, the text frames AI security as an immediate operational necessity affecting SOC analysts, incident responders, governance professionals, security architects, and threat intelligence teams today. The manuscript repeatedly stresses calibrated reliance, verification discipline, evidentiary rigor, governance accountability, and ethical responsibility when using AI in security operations. Detailed examples drawn from financial services, healthcare, government, cloud infrastructure, and enterprise environments illustrate how AI changes attack surfaces, accelerates adversary capabilities, and reshapes organizational risk management. At the same time, the textbook maintains an accessible but rigorous instructional tone suitable for undergraduate cybersecurity programs, early graduate study, workforce upskilling, and professional certification preparation. The result is a highly practical and academically grounded resource that bridges cybersecurity operations, AI engineering, governance, and professional tradecraft in a way that aligns closely with the evolving needs of modern cybersecurity education and industry practice.
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