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Monday, February 29 • 2:00pm - 2:55pm
Fraud Detection & Real-time Trust Decisions

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Fraud detection and computer security have a number of interesting parallels as adversarial & technological ecosystems where systems have exploits and attack surfaces.With the advent of the on-demand economy, the window of time between purchase and service delivery -- the period during which businesses can typically aim to identify fraudulent activity -- is becoming shorter and shorter.I'll present a summary of the common ways which in which fraudsters attack online commerce - starting with traditional online storefront attacks, and moving on to the challenges faced in realtime marketplaces.I'll explain a number of the techniques and technologies employed in combating online fraud, and draw parallels with traditional network and application security practices.


James Addison

James Addison is a Scottish-born hacker/engineer with varied technology interests and experience, sometimes including the arcane (GDS systems and payment gateways). Most recently, he has been working on payments technology and fraud detection at Lyft.

Monday February 29, 2016 2:00pm - 2:55pm PST
DNA Lounge 375 11th St, San Francisco, CA 94103