Enterprise Fraud Monitoring
Armed with machine data and machine learning, fraud teams can search, detect and investigate data to quickly find anomalies—reduce loss of money, reputation and organizational inefficiencies.
Learn how to solve security challenges with Splunk
Splunk delivers integrated enterprise fraud management software that quickly defines behavior patterns and protects enterprise information

Proactive Rules and Monitoring
Search and monitor any data with custom rules and automation

Find Outliers
Detect and investigate outliers via anomalies in machine data that will help pinpoint fraudulent activity
Why Splunk for Enterprise Fraud Monitoring?

Flexible, advanced reporting and visualizations support any user or role and makes it easy to analyze, measure and manage fraud risk.

Index and consolidate the event data from siloed tools and consolidate fraud scores they produce.
Splunk Security Essentials for Fraud Detection
Splunkbase enhances and extends the Splunk platform with a library of hundreds of apps and add-ons from Splunk, our partners and our community.
Customers can learn how Splunk Enterprise may be used to detect various forms of fraud using the example scenarios in Splunk Security Essentials for Fraud Detection. The app will demonstrate how Splunk Enterprise, as well as how machine learning can solve different of fraud scenarios and use cases from detection to complex visualization and investigation. Each detection use case includes a description of how it was implemented using the Search Processing Language (SPL) and the Machine Learning Toolkit (MLTK).