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COVER THE E2E CREDIT LIFE-CYCLE
TransUnion's digital onboarding solution simplifies the application process for customers, reducing the need for multiple integrations and saving time and resources for IT teams. In addition to identity verification, credoSDK is integrated into TransUnion's digital onboarding solution to confirm the affordability of the applicant and avoid risky lending procedures.
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Vetting and screening applications for loans and credit cards can be a complicated, time-consuming and expensive process. In collaboration with TruValidate, a TransUnion solution, credolab provides a comprehensive anti-fraud solution that can help detect and prevent fraud during the onboarding process.
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A comprehensive database of devices and fraud evidence:
In collaboration with TruValidate, a TransUnion solution, the fraud score algorithm is powered by the biggest network of devices and fraud reports in the world, with a base of over six billion unique consumer devices.
Identification of device and account linkages:
Identify suspicious devices from genuine ones and even the hidden connections between devices and accounts.
More secure than the traditional approach:
With a device metadata-led approach, it is possible to know the devices connected to the anonymous customer ID.
Agile in response and adaptability in collaboration with TruValidate:
The powerful and flexible business rules editor enables fraud analysts to react immediately to new threats.
To learn more about how to identify, assess and mitigate fraud risks with bespoke machine learning models, check out this comprehensive guide by our Customer Success Manager here.
Evidence
This rule triggers when a device has been confirmed as fraudulent
Watch-list
This rule triggers when the device is on a blacklist
Geolocation
This rule triggers when an application originates from a location marked as risky
Anomaly
This rule triggers when inconsistencies are identified on a device
Velocity
This rule triggers when the same device applies for multiple loans
Risk-Profile
This rule triggers when a device looks suspiciously like confirmed fraudulent devices
CredoScore
Crunches nearly 1 million behavioural features from opt-in metadata to generate credit scores
Device Risk
Uses device recognition and intelligence technology to track over 45 types of fraud and abuse
Learn from a former risk officer how to develop sophisticated fraud detection models that understand a fraudulent action and its intention.
An exclusive Digital Behavioural Analysis Solution
BRAVE is a sophisticated behavioural analytics solution designed to thrive in the mobile and online landscapes. It harnesses the vast availability of behavioural metadata, offering real-time information and insights to empower better risk and credit decisions.
SDK Integration
Operates through SDK Integration for Android, iOS, and web platforms
Data Collection
Collects 100% privacy-consented behavioural metadata
Behavioural Analytics
Seamlessly tracks user behaviour
Enhanced Experience
Ensures 100% frictionless digital experience
Evidence
This rule triggers when a device has been confirmed as fraudulent
Watch-list
This rule triggers when the device is on a blacklist
Geolocation
This rule triggers when an application originates from a location marked as risky
Anomaly
This rule triggers when inconsistencies are identified on a device
Velocity
This rule triggers when the same device applies for multiple loans
Risk-Profile
This rule triggers when a device looks suspiciously like confirmed fraudulent devices
CredoScore
Crunches nearly 1 million behavioural features from opt-in metadata to generate credit scores
Device Risk
Uses device recognition and intelligence technology to track over 45 types of fraud and abuse
Explore this introduction guide to financial inclusion with a focus on LATAM (a snippet into Mexico) and APAC, the initiatives implemented and the overall challenges of financial inclusion.
Learn how using machine learning and artificial intelligence applied to dynamic, fresh and real-time data gives the ability for analysis and utilisation to obtain insights and create more accurate behavioural models.
How do we fit into your business model?
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