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Banks Can Boost Fraud Detection by More Than Ten-fold Through Better Collaboration, Research Shows

In This Article:

  • Just one in four (27%) financial service and online retail businesses in EMEA currently employ consortia or fraud insight exchange initiatives

  • Top US card issuer combined digital identity, email and physical data to boost high-risk transaction detection by a factor of 23

ATLANTA, Nov. 19, 2024 /PRNewswire/ -- Banks and online retailers can significantly improve their ability to capture hard-to-detect high-risk fraudulent transactions through combining shared fraud intelligence into their risk assessments, according to the latest Global State of Fraud and Identity Report from LexisNexis® Risk Solutions.

LexisNexis Risk Solutions (PRNewsfoto/LexisNexis Risk Solutions)
LexisNexis Risk Solutions (PRNewsfoto/LexisNexis Risk Solutions)

Examples include a US bank that boosted its ability to detect high-risk events by 17 times or 1700% through combining email address risk with broader digital identity signals, such as device intelligence and IP address. Similarly, a top US card issuer combined digital identity, email and physical data, such as postal address, to boost high-risk transaction detection by a factor of 23.

Currently, only around one in four or 27%1 of financial services and online retailers in the EMEA region employ consortia or risk insights exchange initiatives as part of their fraud prevention technology.

A shared collaborative network enables organizations to flag suspicious activity relating to device, IP address, email address and others, to help all members improve their fraud risk assessments. For instance, a device displaying negative behaviors poses a five-times greater risk of subsequent fraud compared to baseline, analysis shows. If anti-fraud solutions flag a device and email address relating to a single identity, the fraud risk is eight times2 greater than baseline. Trusted customers also benefit from these shared networks, since member organizations can flag trusted devices to boost recognition of genuine customers, speeding up login and transaction time.

Such improvements in fraud detection can also result in significant savings for organizations. Metro Bank, a top 10 UK bank, uncovered over £2.5 million of fraudulent payments within six months — marking a 105% improvement – using a collaborative risk insights model to spot outgoing proceeds-of-fraud payments to mule accounts. The model also later found one in eight of the accounts flagged during the period to be mule accounts, helping to protect the bank from the risk of additional fraud losses and regulatory fines.

"On their own, email address, digital signals such as device intelligence and verified identity components can reliably detect certain aspects of identity manipulation, but when used together, they become significantly more powerful for assessing application risk that would otherwise be invisible to banks relying on just their own view of customers," said Stephen Topliss, vice president of fraud and identity, LexisNexis Risk Solutions.