Prevent fraud at sign-up with our fraud prevention API 

At sign-up to ensure that the email address, IP address, first name, last name are legitimate.

Prevent fraud in real time by identifying bots and spam email addresses at sign up.

Reduce manual reviews by automating preventative action, reducing your exposure to fraud.

The results from multiple data checks carried out pass through our system to produce a single, numeric score. This is the Trust Score and gives you an instant overview of how certain you can be about accepting a sign-up or new email account.

The Trust Score allows you to take automatic action depending on the score level. For instance, you can automatically block risky contacts, trigger manual reviews or show messages to the user asking for further information.

Recently registered domains sometimes indicate a fraud risk. Often, fraudulent users will create websites that look plausible in order to trick people into believing they represent a real company. ASSESS checks the age of every domain and considers the risk of each.

ASSESS can also check if a domain is associated with the dark web or has been blocked, and find out why this happened. It carries out a deep assessment on domain data, looking at where it was registered, if it has any subdomains, information on infrastructure security and domain location.

Additionally, ASSESS can detect cash-parked domains. These are domains that are parked specifically to generate money from advertising. They are commonly associated with spam and may also be used to run phishing frauds.

Fraudulent users and bots need to work quickly. For this reason, many spam email addresses contain strings of letters and numbers that don’t make sense.

However, identifying gibberish is not a simple task. Genuine email users often have dates and years in their email addresses, and something that looks wrong to the human eye can be difficult for a machine to spot.

ASSESS detects gibberish in both the user and domain elements of an email address. Our gibberish detection has been developed to be the best filter and can correctly identify gibberish at the same level of accuracy as humans.

Consumer-Business Score

It’s often difficult to say with confidence whether an email address belongs to a business or a consumer. Our Consumer-Business score gives every email address a score from 0 to 10, 0 being most likely to be a consumer and 10 being most likely to be a business.

User information analysis

If a form includes fields for first and last name, ASSESS cross checks whether the email address and user name have any resemblance to one another. Name data also provides a secondary cross-check as part of detecting gibberish,profanity and intent.

Location and currency checker

Location conflicts can signal risk. They can lead to uncertainty about whether the user is who they say they are. ASSESS considers location points associated with their device IP address and mail server location, while detecting server characteristics such as virtual private networks.

Sub-addressing analysis

Sub-addressing is the adding of extra detail into an email address. It isn’t necessarily a sign of fraud intent, but it can be. ASSESS analyses the components of a sub-address and determines whether there are any indicators that raise potential risk.

Blocklist checking

Blocklists are curated by collaborators across the internet, and are shared to allow security providers to filter any fraudulent or malicious activity.

ASSESS cross checks identities with centralised blocklists to filter out risks.

Role checking

Role-based identities are important to recognise and can create different processes, particularly in situations where there is a potential for voucher or free trial abuse.

ASSESS determines role-based identities in multiple languages.