Splunking for Fraud, Theft, & Abuse Detection

Fraud, theft, and abuse detection and prevention is a Big Data challenge. Every year, billions of tax payer dollars are misappropriated by people not entitled to them – families seeking improper benefits and subsidies, hospitals double billing Medicare and Medicaid, or disbursement of loans to fraudulent applicants are just a few examples. Patterns of internal and external fraud often lie in the massive amounts of unstructured machine data and log files generated by your organization’s applications and systems.

Join us online to learn how to harness your machine data to meet a wide range of anti-fraud, theft, and abuse requirements including:

• Fraud monitoring and detection— real-time correlation searches or anomaly detection to identify and alert on fraud as it happens to prevent it from adversely impacting taxpayer dollars
• Fraud investigations—quickly search and pivot through massive amounts of current or historical machine data to understand the "who, what, where, when, and how" around a possibly fraudulent action
• Fraud analytics and reporting—make it easy to analyze, measure, and manage fraud risk for a wide range of internal users
• Enhance existing anti-fraud tools—index event data from siloed tools to create an aggregate fraud score for a single transaction

Every government and education institution faces some degree of fraud, waste, or abuse. Register now to learn about solutions to do something about it and save taxpayers billions of dollars.

The Splunk Team at
Carahsoft Technology Corp.
855-3-SPLUNK (Toll-Free) 
splunkteam@carahsoft.com
www.carahsoft.com/splunk