Global Risk Management and Governance in AI Security Operations

Organizations use various frameworks, policies, and strategies to identify, assess, and mitigate risks associated with the operation of AI technologies. As AI systems integrate with critical business processes and cybersecurity systems, organizations face challenges related to data privacy, regulatory compliance, and ethical considerations. Effective governance ensures AI-driven security operations align with organizational objectives, legal requirements, and international standards, while risk management practices help organizations anticipate threats, manage uncertainties, and maintain trust in AI-enabled decision-making. Together, these approaches may support the secure, responsible, and sustainable use of AI in the global digital landscape. Global Risk Management and Governance in AI Security Operations explores how organizations manage and govern the risks associated with AI technologies in security operations. It examines governance frameworks, regulatory compliance, ethical considerations, cybersecurity threats, and risk mitigation strategies that ensure the secure, responsible, and effective use of AI. This book covers topics such as risk management, global business, and supply chain management, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.