Palantir Government
Investigating Money Laundering Activities in Online Payments
by Jason on March 6, 2009
In this data set we have searched for common mechanisms of credit card fraud using notional transactional data from PayPal. These transactions demonstrate patterns of fraud locally and globally with fraud networks developing out of the specific questions the analyst asks. Combating money-laundering schemes like those seen within PayPal requires an enterprise analysis platform like Palantir. Specifically, we aggregate credit card data, bank account data, and ip-log information to find out to whom and where money flows.
Fraudsters have a limited number of answers they can give when they are asked questions (for example: what is your address, what is your social security number, etc.). It is suspicious to find a large number of records that have the same value for a particular property. In this video we uncover fraud and other suspicious activity in a notional data set based on PayPal by looking for property vale pollution. Then, using transaction data, data about each account, the IP address used to last log in to each account and some open source intelligence we uncover a more substantial fraud ring:
