Search and monitor any data with custom rules and automation
Detect and investigate outliers via anomalies in machine data that will help pinpoint fraudulent activity
Identify the impact and scale of fraud to better protect your bottom line
Splunk helps organizations search, detect, investigate and visualize fraudulent behaviors and transactions to determine the anomalies that typically slip through undetected. Take the appropriate steps to detect compromised user accounts.
Splunk defines fraud rules on wire transfer, card transactions to identify suspect activity. It also makes it possible to implement multiple velocity-based rules, such as geographic and merchant changes, and more to determine indications of fraudlent transactions. Splunk can also better identify anomalous behavior utilizing the Machine Learning Toolkit (MLTK). The Clustering algorithm considers multiple fields in the transactions to identify outliers.
Splunk helps healthcare providers identify anomalous providers with highly abnormal prescription drug distributions and volumes compared to peers.
Splunk also helps organizations with billing to identify anomalous providers with highly abnormal current procedural terminology (CPT) code submissions and volumes compared to peers—get better visibility into each provider and their specialty. Healthcare program administrators of third-party consultants use Splunk to employ techniques that allow them to index, analyze, interpret and transform program, case management, and EMR data to help detect potential instances of fraud and implement fraud monitoring programs.
Spunk offers insights to identify unusual trends, data anomalies and control breakdowns, by developing repeatable tests and, in some cases, even serve as an early warning systems before fraud becomes material.
With Splunk, analysts can easily see all alerts and notable events in a single dashboard that allows for easy investigations.
We were able to do extraordinary things in a very short period of time to detect advanced threats. Ultimately, that was the decision point for us to make a much larger investment in Splunk Enterprise Security and UBA across our different security use cases.
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.
Splunkbase enhances and extends the Splunk platform and solutions with a library of hundreds of apps and add-ons from Splunk, our partners and our community.
With the Splunk App for Fraud Analytics (SFA), customers can use and extend the capabilities of Enterprise Security to enhance their anti-fraud potential. SFA leverages the Risk Based Framework to improve alert fidelity and offers your fraud team a standardized workflow and extensive incident investigation capabilities to improve your anti-fraud strategy.