Prevent Online Fraud

eDNA takes a proactive, comprehensive approach to stopping online fraud.

eDNA to the rescue

Card fraud occurs when criminals run thousands of small purchases using stolen credit card numbers, then resell the “successful” cards to organized crime rings at a much higher price. This leads to poor merchant history, chargeback penalties, and worse. Carding, like most online fraud attacks, is easier than ever. There are even step by step tutorials.

eDNA deep interrogation validates there is a human behind the browser. Even carding bots that mimic human behavior with tools like Selenium can’t escape eDNA detection.

It starts with good web application security hygiene. eDNA inspects each http request in real time, determines if it’s a malicious bot, then blocks the request outright. Next, machine learning algorithms learn your legitimate traffic patterns to pinpoint dangerous anomalies.

You can also turn on more aggressive settings across critical attack vectors like account registration forms and login screens. And by incorporating eDNA Intelligence into your defenses, you can identify high risk transactions in real time, evaluate the need for a review, or deny the transaction.

Behavioural and Machine Learning Technology
The single pixel approach relies on data across a vast network of sites yet there is little or no domain-specific behavioral modeling or heuristics based on requested URLs, click path, or speed of navigation. eDNA  leverages domain-specific behavioral modeling and machine learning to identify the fraudsters. This is not possible with a single pixel firing from creative.

eDNA can even detect sophisticated bots that fake human attributes like mouse movements and page scrolling.

In order to build up a behavioral profile eDNA uses Machine Learning to continuously monitor many risk attributes, or what we call 'fingerprints'. These include:

  • Unknown devices
  • High risk IP addresses
  • Suspicious login locations
  • Tor usage
  • Whitelist and blacklist countries
  • Velocity checking
  • Geo-location anomalies
  • Project Honey Pot
  • AlienVault Open Threat Exchange


Using the the eDNA API real-time requests for each users credibility is made. Each request is given a real-time risk score based on our machine learning techniques which covers 250+ technical and behavioural attributes. The score -  is returned within 200 milliseconds – if the score returned is 1 the request being made is blacklisted. Where a score less than 1 is returned for the given request,  the requester can either be challenged or be fed bad data. Where a score of 0 is returned the request is considered not to be suspicious and will be able to access your website & applications as usual.
Customized Security