How Leading Firms Fight Loan & Credit Fraud and Fake Accounts

Proven Results for Application Fraud Solution

Client: Top US Card Issuer

25%

Additional Fraud Captured

Real-time detection system to stay ahead
of evolving fraud patterns.

$6M

Operation Savings

Boost review and decision with link analysis, smart investigations, auto decisions and bulk actions.

$18M

Fraud Loss Savings

Mitigation of big losses from third-party and synthetic fraud.

You Have Challenges, We Have Solutions

Blind Spots

Limited
customer data

Comprehensive view. Accurate risk scoring

Effortless integration with third-party signals to build comprehensive customer profiles, with data from breaches,
dark web, device intelligence and behavioral biometrics.

False positives

negative customer experience

Fewer disruptions, Happier customers

AI Co-pilot automatically suggests rule improvements to
reduce false positives, keeping the system up-to-date with
evolving fraud patterns.

Emerging tactics

New unknown fraud patterns

New threats unveiled, Reduced fraud losses

Patented unsupervised machine learning identifies new fraud patterns, including sophisticated and coordinated attacks.

Delayed decisioning

lack of infrastructure

Faster decision, Improved detection

Agile real-time decisioning platform that integrates rules,
machine learning models and policies to enable real-time responses.

Manual reviews

Increased operational costs

Cost Savings, Optimized workflows

Auto-decisioning capabilities and bulk actions streamline
manual reviews, reducing investigation time and improving
efficiency by 5x.

Want to see for yourself? Request a demo.

Datavisor has demonstrated an unwavering commitment to our enterprise success by seamlessly integrating their risk detection scores into our online-decisioning. Utilizing DataVisor’s innovative machine learning approach and robust fraud prevention platform, we were able to increase our own real-time fraud prevention.

Affirm Quote

Director of Risk and Fraud

Comprehensive Protection
Against All Types of Application Fraud

DataVisor’s Artificial Intelligence-powered platform handles all types of fraud in application processes in real time to protect financial institutions. The solution covers account openings and credit applications, including credit cards,
buy-now-pay-later (BNPL), and loans.

First-Party Fraud

The true name person uses their real information for identity verification, while applying for credit or loans, but they may exaggerate or fabricate their income and/or financial information.

Third-Party Fraud

Fraudsters use the victim’s PII to apply for financial products. The type of fraud usually associated with data breaches.

Synthetic Identity Fraud:

Fraudsters create fake identities using partially or fully fabricated personal information, often combining fake names and IDs with stolen Social Security Numbers. This fraud involves:

Creating Synthetic Identities:
Combining real or fake details to establish a credit record.

Building Credit History:
Using the fake identity to appear legitimate by applying for credit and maintaining good payment history.

Bust Out:
Maxing out credit and loans with no intention of repayment.

Credit Washing:
Attempting to erase derogatory information from credit reports by falsely claiming to be a victim of identity theft.