Continual improvement of secure AI deployment is a structured and ongoing process that ensures AI systems remain reliable, safe, and aligned with organizational objectives and regulatory expectations. It involves regularly monitoring AI system performance, identifying vulnerabilities, and addressing emerging risks such as model drift, adversarial threats, and data integrity issues.