Using Machine Data Analysis to Detect Fraud

Anti-Fraud , Fraud , Fraud Management & Cybercrime

Jade Catalano of Splunk Discusses Early Detection Methods(@nickster2407) • September 21, 2018     Jade Catalano, senior product manager, Splunk

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.

See Also: Live Webinar | BSIMM: How To Assess Your Software Security Initiative

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.