Email Risk Assessment

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Helping to identify fraud risk and evaluate digital identity

LexisNexis® IDU® enables you to establish the fraud risk associated with an email address. Via our Email Risk tool, which is powered by Emailage®, IDU helps you to confirm trusted email addresses and identify those that are potentially fraudulent.

Email Risk accesses the Emailage contributory database which has global coverage of the majority of emails, to help you evaluate fraud risk and assure digital identity.

What is Email Risk?

Email Risk is powered by Emailage®, and will flag both trusted email addresses and those used in previous instances of fraud. One of the many identity verification and identity authentication tools in LexisNexis® IDU®, Email Risk provides a reliable solution for stronger assurance of an individual’s identity. Understanding the associations between a name and an email address, and any fraudulent activities linked to that email address, is key in assuring digital identity and transactions.

By checking an email address against the Email Risk service, you can gain insight into the following:

 
Email Verification

Verification of the existence and age of an email address and its domain

Email Fraud Risk Indicators

Fraud risk indicators

Identify the type of fraud associated with the email

Type of fraud the email was associated with

Identify the industry where the fraud occurred

Industry where the fraud occurred

Email Fraud Risk Score

Fraud risk score

How does Email Risk work?

Simply provide an email address to the IDU platform to receive instant results and one of six risk bands:

name@domain.com

 
Access billions of email addresses

Access to more than 5 billion email addresses

The Emailage Global Fraud database has more than 40 million email addresses associated with fraud and a database of more than 100,000 domains that are high risk.

Contributory global network

Contributory global network

Email data and risk indicators are inherited from a contributory network of users. When a fraud event occurs, it is recorded against the relevant email and influences the score shared with the network in subsequent interactions.

Detect email fraud in real-time

Real-time fraud detection

In-depth email data, sourced from a global network and enhanced with machine learning algorithms, provides real-time fraud detection.

 
 

The Risk Bands

There are six possible risk bands that an email address can be associated with: from very low to very high.

Very High

 

These emails are showing the strongest signs of being fraudulent. Generally, emails in this risk band have a 30% fraud hit rate, meaning that 3 in 10 transactions will be fraud. However, the hit rate can be as much as 80%.

High

 

Emails in this band are showing strong signs of being fraudulent. Generally there is about a 15-20% hit rate in this band, equating to 1 in every 5 being fraudulent.

Review

 

Emails in this band are displaying some fraudulent behaviours, but those signals are not the strongest indicators of fraud.

Moderate

 

Emails in this band are confirmed to exist and are not showing any risky signals, however they are also not presenting any of the trustworthy signals reserved for lower risk bands.

Low

 

Emails in this band are displaying some positive signals. They may be associated with genuine social media accounts, have existed for several years, and are associated with low risk IP addresses.

Very Low

 

Emails in this band are showing no fraudulent activity, but also show strong signs of being trustworthy. This could be other network members providing positive feedback on the email address, the email address having existed for many years, or it being associated with genuine social media accounts.

Risk bands are determined according to a number of factors including: existence and age of the email and/or domain; positive or negative tags associated with an email or domain; any known risks associated with a domain based on the country of origin; association with high risk accounts (e.g. social media); mailbox full or inactive; and velocity of queries about an email address within certain periods of time.

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