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Powering real-time risk decisions together
Provenir joins hands with CredoLab to rapidly incorporate KYC, fraud, identity, and credit risk data into decisioning processes using the pre-built integrations within Provenir's light user interface. Together, we address the need for an alternative credit risk assessment that complements and improves the traditional processes.
Why Should This Excite You?
Make Real-time Decisions
Trim the time-to-yes from days to less than 1 minute with powerful automation software at your disposal.
Access More Data
Get access to secure, non-intrusive alternative data to complement and boost the insights from your existing data.
Mitigate Risk
Lower the cost of risk using a scoring model with high predictability empowering your underwriters to make better credit decisions.
Go-live faster
APIs and a low-code platform simplify the deployment process so you can reap the benefits with zero downtime.
Complete Data Privacy
Shorten the time-to-yes from days to less than 1 minute with creditworthiness done in real-time.
Agile and Ready to Scale
Feel the true power of an AI-driven solution combined with the embedded scoring technology to provide deeper and more accurate insights.
How does this partnership work?
Digital Onboarding
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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Benefits of Transunion's Digital Onboarding Solution
Reduce fraud, streamline the application process and improve the customer experience.
Anti-Fraud
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
Insights from a Former Risk Officer
Learn from a former risk officer how to develop sophisticated fraud detection models that understand a fraudulent action and its intention.
Our SVP of Sales' interview with CNBC-TV18 on data privacy, embedded finance, industry trends and our growth plans
Access the flipbook now to know what the best experts in Latin American fintech ecosystem have to say about financial inclusion and the use of alternative data.
How do we fit into your business model?
Arrange a meeting with us to discuss