AI-Powered Transaction Forensics

See both sides of every payment, not just your own customer.

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

The data and the models, working together

From a sort code and account number, we identify the party your customer is paying or being paid by, and read our data with Resistant AI's models to score both sides in under 200 milliseconds.

Others have the data or the models. The improvement comes from putting our data and Resistant AI's models to work on the same payment.

Our data

Experian identity, bureau and fraud data on both parties. Who they are, not just how an account behaves.

Plus Resistant AI's models

Resistant AI's 80+ specialist models, real-time and explainable.

Offers 50%+ improvement in fraud outcomes

200% more fraud, 80% fewer false positives, 50% fewer alerts.

Resistant AI logo

The proof

In a UK payments provider deployment, we added Transaction Forensics on top of the monitoring they already ran, with no rip and replace. We measured the uplift on both inbound and outbound flows, so the gain holds whichever way the money moves.

  • 200% more fraud detected than a standalone system
  • 80% reduction in false positives
  • 50% reduction in total alert volume

Results from a single UK payments provider deployment. Individual results will vary.

Why this matters now

According to UK Finance (2026), APP losses reached £576.4m in 2025, up 19% year on year.

Since October 2024 the PSR splits liability 50/50 between the sending and the receiving bank, so you now carry the risk on money you take in from a sender you know nothing about.

Traditional monitoring sees your own customers and your own history, but is nearly blind to the other party in a payment, which is where scams, mules and laundering sit.

Who is the money going to? Who is it coming from? Is your customer a victim, or a mule? Today you can't tell. We change that.

Arrange a Proof of Value now
Two colleagues on a tablet

 

 

This is not another AI fraud tool

Most fraud tools are a model pointed at your own data.

Transaction Forensics adds two layers underneath the AI that a bank can't easily build alone. The layering is what makes the difference.

A laptop showing Transaction Forensics

See it in action

An illustrative example of a single inbound payment, decided in milliseconds.

Your customer is about to receive an £8,000 payment from an account they've never dealt with before.

What your controls see:

  • A valid payment into a verified customer's account
  • A name, a sort code and an account number
  • Nothing unusual in your own history
  • No reason to act

What Transaction Forensics sees:

  • The sending account was opened 12 days ago
  • It presents as a business but has no Companies House record
  • Two other institutions have already flagged it for fraud
  • It's taken in a run of fast-in, fast-out transfers this week

 

 

What it means for your business

 

 

Questions our buyers ask

Yes. The overlay adds signals your own data and rules can't see, on both parties to the payment.

What a proof of value involves

See the uplift on your own data before you commit to anything.

Ready to see it on your own data?

Book a proof of value and our experts will show you the results on your own data, and we'll talk through how it fits what you already run.

 

No obligation, and we'll reply within one working day.

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