Machine data and machine learning have potential to connect disparate data sources, enabling better fraud detection and prevention. Matthew Joseff of Splunk highlights real-world examples of fighting fraud with better data. Joseff is senior security specialist and “minister of reality” at Splunk. Previously, he worked at several startups, integrating technology with real-life productivity, says Joseff. In a video interview at Information Security Media Group’s New York Security Summit, Joseff discusses the difference between machine data and other data sources.”]
Source: https://www.databreachtoday.com/connecting-dots-machine-data-a-11431