Learning from leaders

Across banks, PSPs and fintechs that have modernised their fraud data environments, several quantifiable improvements consistently emerge.

These gains are directly tied to unified data, faster ingestion, and search-driven analytics — all capabilities referenced in the Business Readiness document.

What high-performing organisations changed, and what they gained.

Fraud targets people and processes; cyber targets systems. Effective defence knows the difference.

Financial institutions report benefits such as:

1. Faster detection and response times

Real-time or near-real-time ingestion reduces the window in which fraudsters can operate. Banks have reported detecting mule activity 5–10× faster once they unify their data layers.

2. Significant reduction in false positives

Search-driven correlation reduces noise by correlating signals across all data sources. Some organisations have cut false positives by 30–60%, freeing analysts to focus on real threats.

3. Improved investigation efficiency

Investigation times drop dramatically when analysts access a single operational view. Institutions report 40–70% reductions in case-handling time.

4. Better identification of fraud networks

Search AI helps analysts uncover hidden relationships, discovering fraud rings previously invisible in siloed systems.

5. Lower operational cost

Speed, better context and fewer false positives reduce overall fraud-management cost, contributing directly to operating-margin improvement.

6. Stronger regulatory posture

Supervisors increasingly expect  ms to demonstrate unified surveillance capabilities across fraud, AML and financial crime. Elastic’s composable architecture makes cross-discipline oversight easier.

7. Enhanced customer experience

With fewer legitimate transactions blocked and faster fraud resolution, customer trust rises — leading to better retention and higher satisfaction.

The organisations achieving these results share a mindset: fraud prevention is not just an operational function but a strategic asset. They recognise the value of agility, data visibility and cross-functional intelligence. They treat fraud data not as fragmented evidence, but as the foundation for resilience and growth.