Case Study: Mitsubishi UFJ Financial Group achieves faster, more accurate incident detection and reduced DLP false positives with Exabeam

Exabeam Allows Union Bank to Focus on Actual High-risk Incidents

Union Bank, a financial services institution, was overwhelmed by a high volume of false positives from its data loss prevention (DLP) system, which made investigations time‑consuming. The bank needed faster, more accurate event processing and better prioritization without hiring more staff or narrowing its threat detection.

Union Bank deployed Exabeam’s user and entity behavior analytics to ingest DLP events, establish baselines, detect anomalies, and filter out legitimate business activities. As a result, the bank processed events faster and more accurately, focused on true high‑risk incidents, and expanded capabilities and business growth without increasing headcount.

Mitsubishi UFJ Financial Group