AI-Powered Transaction Forensics
Catch 200% more fraud compared to a standalone system
Reduce false positives by 80% with real-time, precise detection
API-enabled insights delivered real-time in less than 200 milliseconds
What is APP fraud?
Authorised Push Payment (APP) fraud is a type of scam in which a customer is manipulated into willingly sending money to a criminal’s account. Unlike unauthorised fraud, the payment is approved by the victim themselves, usually after being socially engineered through tactics such as impersonation, investment scams, purchase scams or romance scams.
APP fraud is growing in scale and sophistication
In Experian’s latest Annual Fraud and Financial Crime Report, a staggering 47% of UK businesses reported being impacted by Authorised Push Payment (APP) fraud, making it the number one fraud type affecting the industry today. In the first half of 2025, APP fraud fraud losses were £257.5 million, a 12% increase on the same time last year.
Fraudsters are moving faster, exploiting blind spots and overwhelming traditional monitoring systems.
It’s time for a new level of visibility, powered by Experian and Resistant AI.
Introducing Transaction Forensics
Transaction Forensics brings together our data assets with Resistant AI’s advanced behavioural modelling, enhancing detection with unprecedented speed and accuracy.
By fusing Experian’s external context with banks’ internal data and Resistant AI’s advanced analytics, we deliver precision that stops APP fraud while preserving trust and ensuring frictionless experiences for many legitimate customers.
Together, we make APP fraud visible before money leaves the account.
Arrange a Proof of Value now
Our first joint deployment delivered outstanding results
How does it work?
With just a sort code and account number, we can:
- Apply advanced analytics across the entire payment chain, unlocking new visibility and context around counterparties
- Identify, match and enrich a customer or counterparty with bureau and fraud data to create vital context around transaction risk
- Map a party’s footprint across the broader financial services sector
- Assess credit behaviours and aggregate transaction data using Current Account Turnover (CATO) data
- Detect links to fraud consortia
- Identify financial hardship indicators
Why choose us?
Get started with Transaction Forensics
Please complete the fields below to speak to one of our experts. We'll reach out to discuss Proof of Value and integration options.
View our Privacy Policy for details on use and storage of your personal data.
*Denotes a required field