AI Security Governance: Protecting AI Models and Data
Artificial Intelligence has become a key technology for modern businesses. Companies are using AI for automation, fraud detection, predictive analytics, customer support, and decision-making. While AI delivers many benefits, it also introduces new security risks that organizations must manage carefully. AI systems rely on large datasets, complex algorithms, and continuous learning processes. If these components are compromised, attackers can manipulate outputs, steal models, or expose sensitive information. Because of these risks, organizations are now focusing on AI security governance to protect their AI infrastructure . AI security governance provides a structured approach for securing AI models, managing data risks, and ensuring responsible use of artificial intelligence. What is AI Security Governance? AI security governance refers to the policies, processes, and technologies used to protect artificial intelligence systems and ensure they operate securely and responsibly. I...