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sillycat
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Credit Card Fraud Solution(1)Sift Science

 
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Credit Card Fraud Solution(1)Sift Science

Commercial Solution
Sift Science
https://siftscience.com/
https://siftscience.com/image/integration/implementation-flowchart-2x.png   flow

I read Sift Science documents. Here is how we do the integration. (Flow Diagram)
Step 1:
         They require us to include their JavaScript Snippet to gather the user data, IP address and Device Fingerprint(Browser info and etc).

Step 2:
         Then we will send the credit card information and order information, for example 6 first credit number, last 4 credit number, order items and etc thought HTTP API(they provide PHP, PYTHON, RUBY, since it is based on HTTP, we can write our own for Scala).

Step 3:
         We will call their Score API to get a score:  >95, it is likely a fraud. We will reject that order; <60, we will accept that order; 60<score<95, we will category the order into to-be-review and review them manually.

Step 4:
         After we review the orders, we mark the order ‘fraud’ and ’not fraud’ and send this info to their Label API.


References:
https://siftscience.com/
Credit API Solution
http://www.authorize.net/


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