Name: Fang Yu on Using Data Analytics to Catch Constantly Evolving Fraudsters by O'Reilly Radar in O'Reilly Radar Podcast
Duration: 27 min 29 s
Description: This week, I sit down with Fang Yu, cofounder and CTO of DataVisor, where she focuses on big data for security. We talk about the current state of the fraud landscape, how fraudsters are evolving, and how data analytics and behavior analysis can help defend against—and prevent—attacks.

O'Reilly Radar tracks the technologies and people that will shape our world in the years to come. Each episode of O'Reilly Radar features an interview with an industry thought leader, with topics touching on everything from programming to data to experience design. We also take a step back from the breathless pace of the latest tech news to examine why new developments are important and what they might mean down the road.

O'Reilly Radar Podcast

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Credits
Today’s show featured Andreas M. Antonopoulos, Jonathan Mohan, Stephanie Murphy and Adam B. Levine, with editing by Adam B. Levine and music by Gurtybeats.com. Our episode art is a picture provided by The New York Public Library, modified by "Speaking of Bitcoin."
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This week, I sit down with Fang Yu, cofounder and CTO of DataVisor, where she focuses on big data for security. We talk about the current state of the fraud landscape, how fraudsters are evolving, and how data analytics and behavior analysis can help defend against—and prevent—attacks.

Fang Yu on Using Data Analytics to Catch Constantly Evolving Fraudsters

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L'humour est partout, l'humour fait vendre, pourtant le rire au lit passe souvent pour une mauvaise nouvelle. Nous sommes sérieux comme des papes. Nous avons la trouille que ce rire soit un jugement. Nous nous demandons si l'expression "femme qui rit, à moitié dans ton lit" ne recouvre pas un énorme malentendu : et si cette femme qui rit, au lieu d'entrer dans notre lit... était occupée à en sortir ?
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Guess Who

O'Reilly Media spreads the knowledge of innovators. At O’Reilly, a big part of our business is paying attention to what’s new and interesting in the world of technology. We have a pretty good record at having anticipated some of the big technology developments in recent history. For instance, we launched the first commercial Web site, GNN, in 1993; we organized the meeting at which the term “open source” was first adopted; we were early investors in Blogger, which helped launch the blogging revolution; and more recently, our Web 2.0 conference launched a world-wide meme. We call this predictive sense the “O’Reilly Radar.” And while we’re certainly not always right, we are, at least, good at making interesting guesses.

Our methodology is simple: we draw from the wisdom of the alpha geeks in our midst, paying attention to what’s interesting to them, amplifying these weak signals, and seeing where they fit into the innovation ecology. Add to that the original research conducted by our Research team, and you start to get a good picture of what the technology world is thinking about.

Fang Yu on Using Data Analytics to Catch Constantly Evolving Fraudsters

O'Reilly Radar

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