Cybercrime and payment fraud pose significant challenges for businesses handling digital transactions. To combat this issue, a successful fraud prevention strategy requires the ability to process large volumes of data quickly and accurately. Many organizations have turned to NoSQL databases like DataStax Enterprise to support their mission-critical systems due to their performance and scalability capabilities. ACI Worldwide, which processes over $14 trillion in payments daily, has implemented a solution using DataStax Enterprise, Apache Kafka, and Hadoop to detect fraud in real-time. This approach combines machine learning and AI to achieve the necessary speed and accuracy for fraud detection.