Machine data and machine learning have potential to connect disparate data sources, enabling better fraud detection and prevention, says Splunk’s Matthew Joseff. Joseff is senior security specialist and “minister of reality” at Splunk. He discusses the difference between machine data and other data sources in a video interview at Information Security Media Group’s recent New York Security Summit. The interview was conducted by Splunk at the summit of the New York International Security Summit on Monday, October 31. Josef: “Use cases for machine data use in security and fraud prevention””]
Source: https://www.cuinfosecurity.com/connecting-dots-machine-data-a-11431