Case Studies

Real-Time Fraud Prevention with Machine Learning & AIOps

Stopping fraud in real time with AI-powered insights

A leading UK retail bank faced an increasing risk of fraud as online transactions grew, with fraudsters using sophisticated tactics to evade detection. The bank needed a real-time fraud detection system to monitor unusual behavior, detect threats from non-UK sources, and prevent fraudulent transactions before they caused financial and reputational damage. GlobalLogic implemented an AI-powered fraud prevention solution using machine learning and AIOps, giving the bank real-time visibility into transaction patterns, automated fraud detection, and a 360-degree view of customer activity.

Challenge

As online banking adoption increased, so did fraud risks. The bank, with 14+ million active customers and multiple brands, faced rising threats, particularly from non-UK sources. Fraudsters were exploiting gaps in the bank’s fraud detection system to commit unauthorized transactions, apply for multiple credit cards, and attempt account takeovers.

The bank needed:

Real-time monitoring of payments and transactions to detect anomalies.
Automated fraud detection to reduce manual investigation time.
Comprehensive insights into fraud patterns across brands and geographies.

With geopolitical tensions escalating and financial crimes becoming more sophisticated, the bank sought a proactive, AI-driven solution to detect fraud in real time and reduce financial losses.

Value Created

GlobalLogic built an AI-powered fraud monitoring solution that leveraged machine learning and AIOps to detect and prevent fraudulent activity in real time. Splunk’s Machine Learning Toolkit analyzed unstructured machine data from authentication systems, transaction processing platforms, and security logs, uncovering hidden patterns that signaled fraud attempts.

Engineers integrated data across the bank’s digital ecosystem, eliminating silos that previously slowed fraud detection. A custom-built fraud detection dashboard delivered real-time alerts, allowing teams to act immediately on high-risk activities. Automating this process strengthened security, reduced manual investigation efforts, and gave the bank a 360-degree view of customer activity across all channels. Fraudulent transactions were flagged and stopped before they could cause financial losses, ensuring customers and assets remained protected.

Impact

GlobalLogic’s AI-powered fraud prevention system transformed the bank’s security operations, delivering key business outcomes:

Reduced fraud incidents across brands by detecting suspicious activity before transactions were completed.
Enhanced security visibility with a centralized, AI-driven fraud monitoring dashboard.
Automated threat detection to flag unauthorized account access, failed login attempts, and bot-driven attacks.
Strengthened compliance by improving fraud monitoring for non-UK transactions.
Optimized investigation workflows by automating fraud detection, reducing manual review efforts.

Since applying machine learning and AIOps, the bank now proactively detects and mitigates fraud, protecting customers and financial assets in an evolving digital landscape.

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