Fraudsters are constantly looking for new and sophisticated ways to attack your company in an organized manner.
Analysis of applicants faces with the faces of our network to significantly reduce phishing fraud and past due payments.
Prevent your users from wearing masks to impersonate someone else.
Avoid granting credits to fraudsters detected in other companies.
Avoid having duplicate users in your database.
Compare the information entered by your users not only with the same ID but also with the information we have in our network.
OCR (Data Extraction)
Digitize official identification information.
Analysis of ID information
Validates the information before government institutions (CURP and RFC).
Increase in the assertiveness of your machine learning models through valuable information from your users and other data sources.
Enrich valuable information based on the user location.
Verify that the phone number has not been reported as fraud or abuse.
Check if your user is using a VPN and identify IPs with a high fraud rate.
Know the lifetime of the email and identify fraudulent or temporary emails.
Get a device score that includes price, age and range to get to know your users better.
Check that the address entered by your users is real and detect missing information.
Verify that the federal taxpayer registry (RFC) exists and that it is not on any blacklists.
Verify that the user registry id (CURP) is real and belongs to your user.
We help you make the best decision to avoid fraud, automating the process and reducing the load on validation tables.
Identity Fraud Prevention Model
Make automated decisions to keep your business protected.
Looking for next-level custom solutions? Let us know! We are here to help you get the most out of our tools.
Our collective intelligence makes an exhaustive search between different data sources to determine if the user is a fraudster.
Without causing additional friction to your end user or your current onboarding.
Because we value your time and that of your clients.
Through different data sources we identify patterns of fraudulent behavior.
Join the Trully network