Digital Fraud Detection

Digital Fraud Detection

Use Case
With Splunk we can onboard so fast new data sources so that fraud and security teams are able to detect and investigate new use cases.

Anomaly Detection

Fraud runs in any business, any industry. Be it wire transfer, payment card transaction, retail business or insurance scams – It all starts and ends with anomalies, although next-gen fraudsters are trying to hide themselves. Machine data is the key of detecting fraudulent activities in the digital age and we can help you harvest and isolate the anomalies, building flexible rules, dynamic thresholds or adequate reports you need.

The Clustering algorithm considers multiple fields in the transactions to identify outliers.

Fraud Analytics

It is critical to understand how organizations search, detect, investigate and visualize fraudulent behaviors. With analytical approach and Machine Learning solutions we transform the way organizations manage the Fraud. Providing the capability to identify outliers, we create models and forecasts to suggest actions that otherwise slip through undetected.

Automated Response

With Splunk we can onboard so fast new data sources so that fraud and security teams are able to detect and investigate new use cases. With automation and adaptive response it is easier to control the process and react as soon as possible so the companies reduce financial loss, protect their reputation and maintain efficiency.

Benefits For Your Business

Related Partners

To deliver outstanding end-to-end solutions, we partner with focused leaders for cutting edge technologies. We are very selective and dedicated in our partnership and build comprehensive delivery and support capabilities.

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