Authorised push payment (APP) fraud involves criminals tricking victims into sending money via a bank transfer to an account which the criminal controls. This makes the fraud very hard to detect as the genuine customer is logging in, setting up and authorising the transfer, using their own devices.
APP scams have been rising quickly over recent years, according to the latest UK Finance Annual Fraud Report figures. In the first half of 2023, unauthorised UK fraud losses reached a staggering £580 million, of which £239.3million relates to APP fraud.
LexisNexis® Risk Solutions is actively supporting major banks in detecting authorised fraud using data and advanced analytics. We take a 360° view of trusted customer transaction patterns to understand what’s normal, in order to be able to pinpoint unusual behaviour as it happens.
The truth is, that a scam in progress looks very similar to a trusted customer, as it’s them carrying out the transacting, albeit as a victim of social engineering. The only way to detect this is to develop an even better understanding of customers through additional datapoints, in order to baseline user behaviour, so that even a slight deviation can alert the bank to send that transaction along a different path.
LexisNexis Risk Solutions uses machine learning to create specific models to target scams – suppressing some of the trusted intelligence and focusing in on subtle differences as well as risk factors common to scams, such as use of remote desktop software or changes in behaviour.
These and many other factors can be configured into models designed to alert banks to suspicious activity in near real time, to allow them to take action quickly. This approach also prevents any unnecessary disruption to the journey for trusted customers where activity appears normal.