Definition
AI Security Governance is a framework of policies, procedures, and controls designed to manage and mitigate the security risks associated with artificial intelligence systems. It ensures that AI technologies are developed, deployed, and operated in a secure and responsible manner, aligning with organizational objectives and regulatory requirements. This governance involves establishing clear lines of accountability, defining security standards for AI models and data, and implementing mechanisms for continuous monitoring and risk assessment. It matters on the job because it helps prevent data breaches, algorithmic bias, and unauthorized access to sensitive AI functionalities. For instance, an AI Security Governance plan might dictate that all AI models undergo rigorous bias testing and validation before being deployed to customer facing applications. This differs from general AI ethics, which focuses on fairness and societal impact, by specifically addressing the technical security vulnerabilities inherent in AI systems. You will encounter AI Security Governance concepts on exams covering cloud security and artificial intelligence.