Email fraud is one of the most common types of cyber attacks, and it poses significant risks to businesses of all sizes. From phishing scams to impersonation attempts, email-based threats can cause data breaches and financial losses. However, a robust email fraud score can help prevent and mitigate these threats by prioritizing the detection and quarantine of potentially malicious emails.

The email fraud score uses over 30 email reputation signals to assess the risk of users and payments. These signals include a variety of factors, including whether or not an email address has passed authentication checks such as SPF, DKIM, and DMARC. Additionally, an email fraud score may consider whether the email was found in a recent database leak, or if it has been reported to blacklists by other companies for suspicious activity.

Email Fraud Score: Assessing Risk Before It Reaches Your Inbox

The email fraud score also takes into account the first activity date, longevity, and velocity of an email address, as well as other demographic information. These indicators are used to detect and identify low-quality accounts, fraudulent transactions, and potential security risks.

In addition, SEON’s fraud scoring solution is flexible and can be customised to your business needs. It offers industry-preset rules and machine-learning suggested rules that you can easily view, set, and modify. This gives you complete control over which fraud rules impact your users’ scores and when they are applied, removing the guesswork you might experience with blackbox systems. It also provides all data points considered in the score in a human-readable format, so you can understand the reasoning behind every decision made by the system.