HDFC Bank uses QuestDB for mule account detection across all major 25+ banking channels

HDFC Bank, India's largest private sector bank by assets and market capitalization, has implemented a sophisticated Real-Time Streaming Platform (RTSP) using QuestDB to enhance its transaction monitoring and fraud detection capabilities. This system is designed to detect money mule accounts, which are used to launder money through fraudulent transactions, by analyzing patterns across various channels in real-time. The platform processes up to 7,000 transactions per second with sub-100ms decision-making, employing a combination of real-time rule evaluation and machine learning models to assign risk scores to transactions. By integrating channels such as UPI, credit cards, and online banking, the bank can now detect cross-channel fraud patterns that were previously invisible. The platform, which has seen transaction volumes increase sixfold since deployment, is also being extended to support Customer Level Monitoring (CLM) for real-time fraud prevention and other use cases like upselling and personalized recommendations. QuestDB's SQL interface has facilitated collaboration among HDFC's engineering, risk, and fraud teams, allowing the bank to utilize the same infrastructure across multiple applications without relying on proprietary systems. The partnership with QuestDB has been instrumental in refining the platform, ensuring it meets the bank's specific needs while maintaining scalability and flexibility for future advancements.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.