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A financial institution is designing an AI system on AWS to process sensitive customer data for fraud detection. The company’s data engineering team is focused on securing the AI pipeline and ensuring that both data access and data integrity are maintained throughout the process. To implement proper security measures, they need to understand the distinction between data access control and data integrity. What do you suggest?