Finding Fraud Using Machine Data
Splunk's Jim Apger on How to Draw the Fraud Story Out of Data
When it comes to fraud, enterprise data has a story to tell, and it's up to security and fraud leaders to know how to interpret that story. Jim Apger of Splunk discusses reading and reacting to these stories.
See Also: Corelight's Brian Dye on NDR's Role in Defeating Ransomware
In a video interview at Information Security Media Group's recent Dallas Fraud and Breach Prevention Summit, Apger talks about:
- How to recognize fraud in your environment;
- How to quickly spot anomalous behavior;
- Best practices for using machine data and an analytic-driven platform.
Apger, senior security architect at Splunk, is a 20-year veteran of the tech industry who is focused on security and fraud as a member of Splunk's global security specialists team. His digital hardware and software background paved a path for him to spend nearly 10 years in the network intrusion prevention space. Prior to joining Splunk in 2014, he made key contributions in the fields of web fraud detection, anti-money laundering, security information/event management (SIEM), security operations and cyber threat intelligence.
