Using Machine Data Analysis to Detect Fraud
Jade Catalano of Splunk Discusses Early Detection Methods
Connecting the dots between disparate forms of machine data can prove to be valuable in discovering fraud patterns, says Jade Catalano of Splunk, who explains how.
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In a video interview at Information Security Media Group's recent Fraud & Breach Prevention Summit: Toronto, Catalano discusses:
- How to recognize fraudulent activities in your environment;
- Getting started in monitoring for fraudulent patterns in machine data;
- Data capture recommendations for financial institutions.
Catalano is senior product manager at Splunk. With more than 10 years of cybersecurity experience, she has most recently been focusing on anti-fraud efforts.
