HOW IT WORKS
We keep it simple for you. No self-configured risk template, no manual reviews. Receive fully automated optimized decisions and save more time and effort for your core business.
Customer checks out and makes payment with no unnecessary additional verification, choosing any e-wallet or acquirer as desired.
Within milliseconds, the CashShield fraud engine detects customer behavior with big data and analyzes it with machine learning.
Our unique decisioning algorithm returns an optimized decision: accept or reject. All approved transactions are covered under our 100% Chargeback Protection.
Traditional fraud solutions collect only limited fields to process transactions for fraud. Collecting only this data is insufficient, and fraudsters manipulate it to get their transactions approved.
With big data, the CashShield fraud system is able to crunch much more data and analyze unlimited custom fields, making it difficult for fraudsters to go undetected since it is difficult for them to cover all their tracks.
Other machine learning solutions often only use predictive analytics (predicting future fraud with past data), making them ill-equipped to analyze new fraudulent transaction with no past data.
CashShield’s machine learning uses both predictive analytics and pattern recognition to analyze information collected with big data to detect patterns in the customer profile to identify and differentiate fraudulent behavior from genuine customer behavior. With pattern recognition, CashShield can detect micro-changes even on completely new transactions with no historical data to identify whether or not it is fraudulent.
Relying on risk scores and self-configured risk templates may give you the confidence of the human element, but it is also prone to human error and risk-averse fraud prevention.
CashShield’s fully automated decisioning algorithm views all transactions as part of a portfolio to generate decisions that are optimized for the best sales outcome. As a result, genuine borderline transactions that would have been failed by risk-averse fraud prevention can be passed by our system, allowing for significantly higher acceptance rates and revenue growth for you.