Artificial intelligence has rapidly moved from experimental projects to mission-critical enterprise applications. Organizations now rely on AI to automate customer service, detect fraud, analyze threats, generate software code, and support strategic decision-making. However, securing an AI model before deployment is no longer enough. The greatest risks often emerge after the model is live and in..