Solutions: APP Fraud

Detect investment, romance, and other types of APP scams

Resistant Transactions, paired with Experian's counterparty intelligence data, helps fraud teams catch more fraud and money mules with greater accuracy and fewer alerts

2x
Fraud detection
-80%
False positives
-50%
Alert rates
<200 ms
Decision making
Solutions: APP Fraud

Detect investment, romance, and other types of APP scams

usecase-trans
2x
Fraud detection
-80%
False positives
-50%
Alert rates
<200 ms
Decision making

Resistant Transactions, paired with Experian's counterparty intelligence data, helps fraud teams catch more fraud and money mules with greater accuracy and fewer alerts

Book a demo
Benefits

Catch more APP scams with fewer alerts using counterparty intelligence

By combining Experian’s rich bureau data with internal intelligence and Resistant AI's advanced machine learning expertise, you can see who sits on the other side of every payment. That means stopping more APP scams before the money leaves and uncovering the mule accounts that receive it.

 

Stop fraud coming in from other financial institutions.
Flag scam payments in real time. Bring case investigations down. Reduce your reimbursement exposure.
Expand your view of risks.
Map out money flows and increase your risk coverage with advanced behavioral and network analytics along with counterparty data. 
Stop money mule operations.
Hold, investigate suspicious transactions by understanding wider mule networks to shut them down and protect your reputation.
Overlay. Don't Overhaul.

Platform agnostic. Strengthen your existing home-grown or vendor setup. 

Fincrime typologies

APP fraud defense regardless of fincrime typology

Every APP fraud has two ends: the victim who sends the money and the mule account that receives it. Stopping fraud for good means watching both. Our technology flags the warning signs on each side, so you can intervene before the money moves and trace it if it already has.

Victim-side red flags

Romance scams

Investment scams

Business email compromise

Account takeovers

New devices/locations

Perpetrator-side red flags

Initial mule "catch" accounts

Layering dispersion accounts

Dormant mule accounts

Exit or cash-out activities

A solution for FinCrime leaders in financial institutions

Stop more APP scams and money mule accounts without ripping out what you have. Get in touch today.
Get in touch
Frequently asked questions APP fraud FAQs Want to learn more about our solution for APP fraud? Here are some of the most frequently asked questions from around the web.
How does Resistant AI assist in detecting authorized push payment fraud?
Resistant Transactions helps authorized push payment (APP) fraud prevention efforts by augmenting existing transaction monitoring systems with advanced AI capabilities. Our off-the-shelf models analyze transaction data in real time to identify suspicious activities and reduce false positives, enabling more efficient investigations.
How quickly can Resistant AI spot advanced fraud behaviors?
The system is designed for rapid results, delivering detecting financial crime and suspicious behaviors in under 200 milliseconds.
Can Resistant AI integrate with existing workflows?
Yes, Resistant Transactions offers flexible integration options via APIs, allowing seamless incorporation into existing transaction monitoring systems.
Who will this help at my company?

Resistant Transactions helps several roles in the APP fraud use case:

  • Fraud analysts. Identify and block unauthorized payment requests and suspicious account activity before funds are transferred.

  • Payment operations teams. Streamline transaction reviews with AI-driven alerts, reducing manual workload and false positives.

  • Customer service representatives. Quickly verify potential APP fraud cases and assist customers with timely intervention and resolution.

  • Risk management officers. Monitor evolving APP fraud tactics and adjust controls to minimize financial exposure.

  • Compliance officers. Ensure regulatory adherence by maintaining robust detection and reporting mechanisms for payment fraud.

  • IT and security teams. Integrate AI-powered fraud detection seamlessly into payment platforms while protecting data privacy and system integrity.