Stop Fraud, Theft and Account Abuse

Patterns of internal or external fraud often lie in the massive amounts of unstructured machine data and log files generated by your business applications and systems. Splunk software lets you harness this machine data to meet a wide range of anti-fraud and account abuse needs including:

  • Fraudulent Transactions – real-time correlation searches or anomaly detection can identify and alert on fraud as it happens
  • Fraudulent Behavior – detect account takeover by uncovering malicious or anomalous behavior associated with users (including root, service and other shared privileged accounts), devices and applications
  • Anomalous Behavior – fraud analytics and reporting make it easy to analyze, measure and manage fraud risk for a wide range of internal users and entities based on anomalous behavior and known risk factors
Get Started
  • Solution Guide Splunk for Fraud
  • Customer Case Study Splunk at a Global Retailer
  • Customer Case Study Splunk at Orrstown Bank
  • Video
    Splunk at PostFinance
  • Technical Brief Using Splunk® User Behavior Analytics
  • Webinar Learn How to Use Splunk to Defeat Fraud
Try Splunk Security Essentials for Fraud Detection Download Now

What do Patterns of Fraud Look Like?

Fraud patterns vary, so Splunk software lets you create unique searches tailored to your specific business in order to detect fraud. Here are a few examples of fraud and abuse across completely different industries, and what their related fraud patterns might look like. You can easily turn each of these patterns into real-time searches using Splunk software to generate alerts if your predetermined search parameters are met.

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If you need immediate assistance, check out our community forum, Splunk Answers.

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