Analyse everything, then learn

We analyze site visitor behavior before a transaction, 1000s of datapoints like device, IP, phone, and email during a transaction, then decision feedback and ML after. Trustev is the first anti-fraud platform to examine all data, in context, for every transaction, then keep getting better every day.

Behavior

Trustev analyzes how visitors move through your site, click, and interact. This is a strong signal about fraudulent intent, which we feed into your decisioning.

Full-spectrum transaction analysis

During a transaction, we analyze the behavior of the visitor, plus thousands of datapoints, to make a realtime decision on whether it is fraudulent or not.

Behavioral
Digital
Email
Mobile
Historical
Machine
learning
Credit
file
Social
Location
Financial

Machine learning

Our ML system complements the behavioral and transaction analysis to improve decisioning and make it better with time. Trustev is the only blended C# and ML platform on the market.

Calculate your upside

Every retailer is different of course.
See what Trustev could do for your company:

CALCULATE YOUR UPSIDE

Deploy in days

Trustev is a cloud-based service with an extremely light integration and simple API.

1) CHOOSE EITHER...

A) Plug it into your existing Fraud Management System

B) Use it in parallel; or

C) Replace your existing platform

2) ADD CODE

Add code tag to your site and connect a simple API (our engineers can do it for you). The process is fast and simple.

3) LISTENING

15-30 days of “listening” as we learn your site and visitor patterns. Then it’s ready to go.

Feature details

Here are some of the main features of the Trustev real-time fraud prevention platform:

DIGITAL

  • Advanced ID (built in-house)
  • Account takeover
  • Session hijacking
  • Browser construction analysis

FINANCIAL

  • Cart data
  • History (incl. cross-merchant option)
  • Credit / ID check
  • IP / BIN data

GEOGRAPHIC

  • IP analysis and location
  • Proxy identification (TOR, Elite, others)
  • Bank ID / country matching
  • Shipping / billing

MOBILE

  • Name of account holder
  • Zip of account holder
  • Underlying carrier
  • Account type
  • Account tenure
  • Recent account changes

BEHAVIORAL

  • Behavioral analysis
  • Learning period
  • Site interaction / velocity
  • Cart size / average value
  • Transaction history
  • Bot detection

HISTORICAL

  • Long tail velocity check
  • Short tail velocity check
  • Machine learning
  • Smart Whitelisting
  • Smart Blacklisting