The rapid acceleration of artificial intelligence (AI), digital platforms, and data-driven decision-making has fundamentally reshaped how organizations, governments, and societies understand risk, responsibility, and trust. As AI systems become embedded in critical domains such as healthcare, finance, governance, and national infrastructure, the challenges of cybersecurity, ethical governance, and human-centered design can no longer be treated as isolated technical concerns. Instead, they demand interdisciplinary approaches that integrate policy, organizational behavior, psychology, ethics, and operational practice. Cyber Risk Management and AI Governance in the Digital Era responds to this evolving landscape by examining how technological innovation intersects with human values, institutional structures, and democratic accountability. This book asserts that effective AI governance and cyber risk management depend not only on robust technical controls, but also on inclusive participation, ethical foresight, organizational culture, and an understanding of how humans interact with complex systems under pressure. Covering topics such as neuromarketing, algorithmic sovereignty, and cyberpsychology, this book is an excellent resource for graduate and doctoral students, researchers, computer scientists, security analysts, policymakers, and more.