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Presented at StampedeCon 2015: As technology evolves, consumers are able to do more and more things in a remote setting—banking, shopping, communication, you name it. The more enabled we are, the more fraud is possible. As individuals use their identities to apply for goods and services – credit, loans, wireless phones, mortgages, etc. – certain patterns emerge. ID Analytics, a LifeLock company, quantitatively evaluates billions of data points, in real time, to understand identity risk. The algorithms behind our analysis come from the state-of-the-art machine learning community. In this talk, we’ll describe the modes of identity fraud with examples of some fraud rings that we have observed along with details of the data structures and big data algorithms we use to catch identity fraud.

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