vFRAUD®

Instantly detect fraudulent bank accounts

Identify invalid contact information like email, phone, and physical address as well as suspicious behaviors

Solution Overview

As ACH volumes rise and real-time payments become the norm, transaction complexity is increasing—along with fraud risk. In this fast-moving environment, a strong, adaptive fraud prevention solution is no longer optional; it’s essential.

How it helps

vFraud® delivers real-time protection leveraging a vast consortium network, velocity signals, and advanced machine learning analytics. It instantly detects fraud indicators like rapid changes in contact information, invalid phone numbers or emails, and suspicious links to bank accounts, helping you stay ahead of evolving threats.

Our comprehensive solution utilizes risk indicators to:

  • Detect high-frequency changes in Personally Identifiable Information (PII)
  • Filter and flag invalid or fraudulent contact information like email addresses and phone numbers
  • Check for past inquiries utilizing velocity metrics
How It Works

vFraud®

Recent studies from ValidiFI’s data network reveal consistent patterns tied to elevated fraud risk. While results vary by client, these key indicators help uncover fraud in real time:

KEY BENEFITS

The value for your business

Bank Account Insights

Access unique bank and payment data to analyze characteristics, behaviors, and patterns associated with high-risk indicators

Flag Suspicious Information

Identify fraudulent instances like first party fraud, new account fraud, and minimize financial losses

Reduce Risk

Reduce risk of paying or sending funds to fraudulent accounts

Related resources

Case Study: Enhance Acquisition: Identify Customers Most Likely to Convert with vFraud

A personal finance lender, specializing in lending to non-prime consumers, was looking to improve their lead buying and application process to identify high-risk customers early on, reduce lead costs...

Swipe Right on Fraud Detection: 4 Key Elements You Should Be Evaluating

According to the 2024 AFP Payments Fraud and Control Survey Report, 80% of organizations were victims of payments fraud attacks/attempts in 2023, a 15-percentage point increase over the previous year...

Product Sheet: vFraud

Quickly prevent fraud and make more confident decisions and transactions:   Identify bank-related fraud like first party fraud, third-party fraud, or account opening fraud. Detect high-frequency...

Related products

vAccount™ Suite

Pair with vFraud for critical layers of protection. Together, they deliver a powerful, end-to-end solution for verifying account legitimacy and detecting risk before it impacts your business.

vIndex™

Assess the risk of a financial institution based on performance within ValidiFI’s data network.

vCredit®

Assess ability to pay based on inquiries, payment behavior, and payment performance leveraging our alternative FCRA-compliant score.

FAQS & ANSWERS

Frequently asked questions

vFraud®  doesn’t just assess individual elements like the consumer for suspicious indicators, but rather the connections between the consumer, bank account, and their past payment performance for a more robust assessment. This allows you to detect fraud instantly before its too late. 

vFraud®  leverages proprietary and partner insights from within ValidiFI’s data network to perform various fraud checks to validate customer contact inputs like phone number and email addresses. This offers increased confidence in what your customer is providing is legitimate and accurate to help detect and reduce fraudulent attacks

vFraud®  can help detect fraud instantly by assessing suspicious indicators related to consumer, bank accounts or payments. Most common types include first-party fraud, third-party fraud, synthetic fraud, and new account fraud. 

Yes, all customers are required to report their performance data as we are a give-to-get data model. By doing this, all customers gain tremendous value from accessing a much larger database of information than they would without data contribution across the network.

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