Palantir Technologies Inc.

Jean-Baptiste Michel

Ananya Shukla

Alan Hampton

Barry McCardel

Craig Saperstein

Daniel Norris

Eric Denovitzer

I K Ashok Sivakumar

Christopher Glen

Ik Ashok Sivakumar

Systems and methods for using disparate data sets to attribute data to an entity are disclosed. Disparate data sets can be obtained from a variety of data sources. The disclosed systems and methods can obtain a first and second data set. Trajectories can represent multiple data records in a data set associated with an entity. Trajectories from the obtained data sets can be used to associate data stored among the various data sets. The association can be based on the agreement between the trajectories. The associated data records can further be used to associate the entities related to the associated data records.

Entity data attribution using disparate data sets

Approaches for determining a potential merchant breach are described. A system can acquire card transaction data from one or more sources such as merchants or financial institutions, in some instances at a predetermined time interval. Cards associated with the card transaction data can be analyzed to determine the health of a particular card, including the likelihood that the particular card has been compromised. A set of cards are accumulated, and their associated health data is stored. Based on the information obtained from a source, and the health associated with a set of cards, a potential date where a merchant was breached can be determined and fraudulent purchases can be prevented.

Systems and methods for identifying information related to payment card breaches

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Brooklyn, NY, United States of America

Jean-Baptiste Michel