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Outdated fraud detection systems result in overlooked fraudulent activities, affecting revenues and eroding customer trust. Additionally, these systems often fail to comply with stringent regulatory standards for fraud prevention and data management, leading to high-profile fraud incidents that attract negative attention and scrutiny over perceived security weaknesses. However, by leveraging GFT's expertise in fraud modeling, Confluent's capabilities in real-time data streaming, and AWS's scalable machine learning technologies, a financial institution can significantly reduce fraud losses and enhance its security posture.