Case Study: Leading UK Retail Bank achieves real-time fraud prevention with GlobalLogic's AI-powered machine learning and AIOps solution

GlobalLogic Leverages Big Data & AIOps to Protect a Leading UK Retail Bank Against Payments Fraud

A leading UK retail bank, serving more than 14 million active customers, was facing growing fraud risk as online banking activity increased. Fraudsters were exploiting gaps in detection to carry out unauthorized transactions, attempt account takeovers, and apply for multiple credit cards, creating a need for real-time monitoring and automated fraud detection. GlobalLogic stepped in with a machine-learning- and AIOps-based fraud prevention approach, using Splunk’s Machine Learning Toolkit to analyze transaction, authentication, and security data.

GlobalLogic implemented an AI-powered fraud monitoring solution that unified data across the bank’s digital ecosystem and provided a centralized dashboard for real-time alerts and visibility. The system helped flag suspicious activity such as failed logins, bot attacks, and non-UK transactions, reducing manual investigation and strengthening compliance. As a result, the bank proactively detected and stopped fraudulent transactions before they caused losses, improving security across brands and protecting 14 million active customers.