Case Study: Leading Global Retailer achieves rapid fraud detection and reduced financial losses with Splunk Enterprise

A Splunk Case Study

Preview of the Leading Global Retailer Case Study

Global Retailer Detects Online Fraud with Greater Visibility and Insight

A U.S.-based global department store chain selling across brick-and-mortar, catalog and 100+ e-commerce sites was facing escalating online fraud—account takeovers, abuse of new-account incentives and sophisticated fraud rings. Its security team could not quickly aggregate or correlate logs from multiple systems, forcing slow, manual investigations that hampered timely detection and response.

The retailer deployed Splunk Enterprise to centralize and index all fraud- and security-relevant machine data, enabling fast searches, automated IP lookups and cross-correlation of disparate logs. Investigations that once took hours now complete in 5–10 minutes (~0.2 worker-hours), yielding reduced financial losses and chargebacks, lower investigation labor costs, real-time fraud detection, and a stronger overall security posture.


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