You are a machine learning engineer managing a production environment with multiple ML workloads deployed on AWS. Your team wants to ensure resource optimization, cost-effectiveness, and enhanced security for all ML systems. Using AWS Trusted Advisor, which actions should you prioritize based on its insights to address overprovisioned resources and potential security risks across the infrastructure?