Keeping your transactions secure

judoShield protects your business by mixing business rules and machine learning to flag a transaction as fraudulent or not based on your business risk appetite.



Risk Thresholds

The Risk Engine that collects, analyses and calculates a Risk Score between "0 - 100" from transactional data and device signals.

Transactions routed to Allow, Block or 3Ds (send to your card issuer for verification) based on the risk appetite configured by you.

Device DNA

The creation of a unique ID for every device (mobile and computer) based on a number of signals collected from the device.

Persistent ID even when the application is re-installed or a different web browser is used to access your website.

Velocity Rules

Identify fraudsters based on the velocity of transactions in a given time period.

These rules can be based on a number of different attributes including card numbers, decline transaction count, device ID (Device DNA) using during minutes, hours, days and months.

Trusted Customers

Maintain a list of customers or attributes you would like to consistently block or allow.

Global Blacklist

Automatically declining transactions from known stolen/fraudulent cards.

Machine Learning

Using data from a number of sources, machine learning modules run constantly evaluating risk scores and identifying fraudulent activity.


Aside from the Judo Shield toolkit the following is fraud features also available

  • Card Tokenisation - Make reoccurring payments to the same card without having to actually store the card number. Helping you achieve PCI compliance.
  • 3D Secure - Additional authentication provided by card schemes/issuer.
  • AVS – Verify address entered by consumer matches the address associated to the card.
  • CVV/CV2 – Validating the verification number associated with most credit/debit cards.