Artificial Intelligence is rapidly changing many industries, but with its power comes responsibility. "AI Governance: Ensuring Trust, Security, and Ethics in AI-Based Systems" is your guide to navigating the challenges of responsible AI development and deployment.

Written by cybersecurity expert Dr. Kellep A. Charles, this essential resource connects AI innovation with ethical practices. Whether you are a cybersecurity professional, data scientist, business leader, policymaker, or student, this book offers practical frameworks for managing AI risks, ensuring compliance, and creating trustworthy systems.

Inside, you'll find:

•Foundational AI concepts and the development of machine learning technologies

•Insights into agentic AI systems, including their benefits, risks, and governance needs

•Real-world applications of the NIST AI Risk Management Framework

•Strategies for managing the entire AI development lifecycle

•Practical threat modeling and security testing methods for AI systems

•Techniques for data governance, privacy protection, and reducing bias

•Current laws, standards, and regulations such as GDPR and the EU AI Act

•Step-by-step guidance for creating AI cybersecurity frameworks

•Protocols for incident response, monitoring, and maintaining deployed AI systems

•Tools, certifications, and organizational resources for AI security testingWhat makes this book unique? It includes real-world case studies, detailed checklists, sample governance policies, and templates for assessing AI impact. This book turns abstract AI ethics into concrete action plans. It addresses critical risks like model poisoning, adversarial attacks, data protection, and algorithmic fairness, providing practical strategies for mitigation.

It is ideal for professionals seeking AIGP certification, organizations establishing AI governance programs, or anyone dedicated to responsible AI innovation.