Validation Solutions

Don't Be Fooled by Fake Paystubs

If you’re using paystubs to verify borrower income, there’s a better way.  Point Predictive provides validation solutions for both income and employment.

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Income Validation
Stated income is notoriously falsified and unreliable. Until now, there has been no automated and reliable way to identify when a borrower’s income is materially overstated.
What It Does

IncomePass analyzes stated income against millions of historically reported salaries across all occupations and cities, IRS Income Data, Census Data and many other sources to validate an applicant’s income for reasonableness.


How It Helps

IncomePass helps reduce losses due to income misrepresentation by detecting 60% – 80% of inflated incomes. It also eliminates the high cost of income validation for the vast majority of applications.

Is That Employer a Real Business?

Point Predictive introduces EmployerCheck™, the lending industry’s only consortium data and Artificial + Natural Intelligence™ solution that provides a prediction of employer and source of income legitimacy. Almost anyone can create a completely fictitious business that appears genuine to loan reviewers. EmployerCheck gives you a reliable signal for when to ask your applicant for more information on their sources of income.

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Fictitious Employers & False Sources of Income
Some untrustworthy borrowers think that they can fool lenders into believing that they are employed by fictitious companies. Fraudsters will even setup websites, internet listings, and an answerable telephone number where a live person will confirm employment and income.
How It Works

EmployerCheck provides a detailed, sub-second response to a lender’s employer inquiry. The lender only needs to provide an employer name and phone number to generate an EmployerCheck Report, which includes at least 11 risk factors that can help determine whether to request additional verification materials from the borrower. EmployerCheck, on average, will find a match to the stated employer about 90% of the time, and the results can be integrated into any commercial loan origination system.

Why Use It?

Traditional data sources used for verifying sources of income fail to detect more fraud and misrepresentation on loan applications because they only cover large corporates or small sets of confirmed historical fraud.

EmployerCheck is uses Point Predictive’s loan industry consortium data set, which contains over 17 million legitimate and suspicious employers claimed on nearly 100 million loan applications. Every EmployerCheck prediction of source of income is as accurate it can possibly be.

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Synthetic Identity
This type of fraud occurs when real and fake information are combined to create a new identity used to obtain fraudulent loans and credit. The use of some real identity data makes it challenging to detect.
What is Does

Synthetic ID Alert uses machine learning to score loan applications on the likelihood that an application contains a synthetic identity. If an application scores as a high risk for synthetic identity, the score and actionable reason codes are provided so the lender can take appropriate actions to validate the identity data.

The combination of stolen and real information can make synthetic identity fraud hard to spot.

Synthetic ID Profile

How it Helps

Synthetic Identity Fraud causes more than $1 billion in losses each year for U.S. auto lenders. At some lenders, Synthetic Identity makes up as much as 20% of total fraud losses. Synthetic ID Alert can be quickly and easily installed within a lender’s existing technology infrastructure for real-time application review.

Synthetic ID Alert Helps Lenders Stop Synthetic Identity Fraud By Producing Alerts On Applications That Exhibit Patterns Consistent With Synthetic ID Fraud.

Synthetic ID Alert provides a cost- effective way for lenders to prevent fraud losses.