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A fintech startup is developing several machine learning (ML) models for fraud detection, credit scoring, and personalized financial recommendations. Each model is managed by a separate team with different responsibilities. To minimize the risk of accidental model misuse or unauthorized access, the startup wants to implement least-privilege access controls, ensuring team members only have access to the specific SageMaker resources they need to perform their job roles. Which Amazon SageMaker tool is best suited to help the company define and manage fine-grained access controls for different ML teams?