Fraud API

The end-to-end solution depicts all of the relevant fraud vectors on the Admin Panel (GUI).

Hybrid Algorithm

The risk scores are aggregated by the Scoring Engine and Machine Learning models to ensure high catch rates and low false positive rates.

Scoring Engine

With the help of the Scoring Engine, custom rules can be imported and set up in a simple, user-friendly environment. This ensures a total white-box solution.

Feedback Data

Our Label API collects the post-back data from the payment gateway (eg. authorised, cancelled, chargeback) and the engine is retrained based on the new information.

Network of Fraud Patterns

Our clients optionally share fraud patterns and anonymised analysis reports in order to ensure the highest standards of fraud prevention services.

Transaction Analysis

The Fraud API handles 62 pre-defined data fields related to a transaction and an unlimited number of any industry specific custom fields enriched with over 3000 metrics.

Behaviour Analytics

Our API can be implemented to different action points (e.g. signup, login, account edit) to eliminate any type of sophisticated attacks.

How to Combine Machine Learning and Human Intelligence for Better Fraud Prevention

Looking at Forbes’ list of the Top 10 Machine Learning Use Cases, you’ll find industries that won’t surprise you.

3 Signs You Might be a High Target For Fraudsters

In 2017, fake online hotel booking scams reportedly cost consumers nearly $4 Billion. More than a drain on users, these losses impact the margins of hotels themselves.

Fraud Prevention: In-House or Outsourced? Your Complete Guide

With cybercrimes estimated to cost companies $2 Trillion by 2019, the question isn’t if you should implement a fraud prevention strategy.

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