Use Splunk to detect and defeat fraud, theft, and abuse

In case you haven’t heard, an emerging and fast-growing use case for Splunk is using Splunk for anti-fraud, theft, and abuse (which I will just call “fraud”). Many Splunk customers across a wide range of industries Splunk their machine data and log files for a wide range of anti-fraud use cases, including fraud investigations, detection, and analytics/reporting. They also put the event data from other point anti-fraud tools into Splunk and use Splunk to: (1) break down the siloed nature of these point tools to present a more unified view on fraud, and (2) correlate fraud events with other data sources. Splunk’s flexibility enables it to be an anti-fraud solution and/or enhance existing fraud tools.

A few weeks ago, Splunk conducted a compelling webinar on how to use Splunk for anti-fraud use cases. The webinar recording can be viewed here .  In it we had a former 2-time CISO and Splunk customer explain how a large online retailer used Splunk to better detect and defeat online fraud. Also, a Splunk partner detailed how they have deployed Splunk to detect employee theft at thousands of stores and branches by Splunking point-of-sale machine data. Lastly, the webinar also covered a sampling of the wide range of possible fraud patterns that Splunk can detect.

We have also produced new material on Splunk for anti-fraud use cases I encourage you to view. This includes a new Splunk anti-fraud web page here with the 101 on this use case and sample patterns of fraud. On this web page also are a case study and solutions guide. Please feel free to read these and, if you have additional questions, contact Splunk sales here. Happy Splunking!

Joe Goldberg
Product Marketing
Fraud, Compliance, Security

Joe Goldberg

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