Application fraud
Stop fraud at the front door. Detect synthetic identities, stolen credentials and misrepresentation during account opening, before fraudsters gain access to your products.
- Synthetic identity detection
- Application anomaly scoring
- Identity verification signals
- First-party fraud indicators
- Application
- ONB-2F7E-08
- Product
- Credit card
- Channel
- Web
Why it was flagged
- Phone number shared with other recent applicationsNetwork
- Identity has an unusually thin credit historyContext
- Form completed unusually fast, with pasted fieldsBehavior
- Device linked to a declined applicationDevice
The linked applications are grouped so the fraud team can review them together.
- <50ms
- Applications scored at submission, before approval.
- Before approval
- Fraud caught at origination, when it costs least to stop.
- Linked applications
- Rings found through shared devices, phones and addresses.
- First-party signals
- Misrepresentation flagged alongside identity fraud.
Verify before you approve
Fraudulent accounts are expensive to clean up. Vyndarix evaluates applications in real time to identify high-risk applicants before they become customers.
Synthetic identity detection
Identify fabricated identities built from real and fake information that pass traditional verification checks.
Device and behavior analysis
Evaluate how applicants fill in forms, their device characteristics and session behavior to detect automated or suspicious applications.
Data consistency checks
Cross-reference application data against known patterns to detect inconsistencies, recycled information and manufactured identities.
Velocity and link analysis
Detect application fraud rings by finding applications that share devices, addresses or other attributes.
Protect your onboarding pipeline
Every fraudulent account you approve becomes a future loss. Catch fraud at origination, when intervention is cheapest and most effective.
- Reduce account-level fraud losses
- Detect fraud rings at application
- Lower manual review volume
- More accurate approvals
- Identify first-party fraud signals
- Faster approval for legitimate applicants
How an application is reviewed
- 1
Submission
The application and its device and session data are received.
- 2
Analysis
Identity, consistency and link signals are evaluated.
- 3
Scoring
The signals combine into one fraud risk score.
- 4
Decision
Approve, refer for review or decline, with the reasons attached.
Questions about application fraud
What is application fraud?
Application fraud occurs when fraudsters submit false or stolen information during account opening to gain access to credit, services, or financial products they don't qualify for.
How is synthetic identity fraud detected at application?
We analyze data consistency, device behavior, application velocity, and cross-reference submitted information to identify fabricated identities before account approval.
What is first-party application fraud?
First-party fraud occurs when applicants misrepresent their own information to obtain credit or services, with no intention of repaying or legitimate use.
Secure your onboarding process
See how application fraud detection reduces losses and keeps fraudulent accounts out of your products.