Fraud Prevention in Mobility Services with Data Streaming using Apache Kafka and Flink with AI Machine Learning
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Fraud Detection in Mobility Services (Ride-Hailing, Food Delivery) with Data Streaming using Apache Kafka and Flink

Mobility services like Uber, Grab, and FREE NOW (Lyft) rely on real-time data to power seamless trips, deliveries, and payments. But this real-time nature also opens the door to sophisticated fraud schemes—ranging from GPS spoofing to payment abuse and fake accounts. Traditional fraud detection methods fall short in speed and adaptability. By using Apache Kafka and Apache Flink, leading mobility platforms now detect and block fraud as it happens, protecting their revenue, users, and trust. This blog explores how real-time data streaming is transforming fraud prevention across the mobility industry.
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Fraud Prevention with Apache Kafka in Real Time in Financial Services and Banking
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Fraud Prevention in Under 60 Seconds with Apache Kafka: How A Bank in Thailand is Leading the Charge

In financial services, the ability to prevent fraud in real-time is not just a competitive advantage – it is a necessity. For one of the largest banks in Thailand Krungsri (Bank of Ayudhya), with its vast assets, loans, and deposits, the challenge of fraud prevention has taken center stage. This blog post explores how the bank is leveraging data streaming with Apache Kafka to detect and block fraudulent transactions in under 60 seconds to ensure the safety and trust of its customers.
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