We implemented IDVision with iovation in Q4. Results appeared immediately, and by the end of the quarter, we reduced our fraud losses from impersonation by 72%. By the end of the following quarter, we stopped almost all impersonation attempts.
Eddie Vaughan U.K. Fraud & Financial Crime Manager
Ikano Bank sought to protect customers from romance fraudsters without having to sacrifice the simplicity of their service offering, which is a major value proposition and point of competitive differentiation.Ikano Bank implemented IDVision with iovation device intelligence. By identifying every device visiting their loan application page, Ikano can assess each device’s reputation and association with other devices.Within six months of implementation, IDVision with iovation stopped almost every instance of the impersonation-based fraud Ikano Bank was suffering, yielding an 850% ROI over that timeframe.

A beloved product benefiting scammers

Born out of IKEA, Ikano Bank was founded on the principles of value and simplicity. Fraudsters have taken notice, making it even more important for Ikano’s fraud department to identify potential scams before approving and fulfilling loan applications.

“One customer was so deep into the scam that we called the police to intercede,” recounts Eddie Vaughan, UK Fraud & Financial Crime Manager at Ikano Bank. “Banks and their customers are increasingly prone to a variety of scams in which fraudsters prey upon individuals who are particularly vulnerable. Romance scams have been effective for decades now but have been updated to the Internet age – we’ve seen some people who have been close to selling their homes to raise money to pay an online boyfriend or girlfriend they’ve never actually met.”

“Our online personal loan product makes it easy to quickly pay a sum of money into the bank account of someone whom we’ve never met,” Eddie explains. “While our customers love the simplicity and speed of this product, scammers can also benefit. It was imperative for us to do everything we could to prevent fraudsters from taking out loans using honest people’s personally identifiable information.”

A new take on an old scam

Many of the most common Internet scams actually pre-date the Internet. For instance, romance scams have been around in some form since the dawn of pen pals. But the ease in which the Internet connects people, combined with sophisticated social engineering skills, has made it that much easier for fraudsters to separate their marks from their money.

Online dating sites have become an especially rich source for these types scams. Fraudsters trick their victims into divulging their Personally Identifiable Information (PII), which the fraudsters then use to take out loans from lenders.

Other solutions couldn’t help

Initially, Eddie and his team fought back with cookie matching and a private fraud aggregation network for UK lenders.

“Once we realized we were dealing with a sophisticated fraud ring, we had quite a bit of difficulty in finding the data that would establish the size of the problem,” recalls Eddie.

The Ikano Bank fraud team built a database of the browser cookies associated with the fraudulent loan applications; an extremely time-consuming and fragile process. Any device used to submit the applications could clear its browser cache at any moment. The next time it submitted a loan application, that ‘new’ device would carry an innocuous cookie.

The private fraud aggregation network for UK lenders wasn’t much better as the fraudsters were using advanced tactics that successfully circumnavigated traditional methods of identifying fraud. Due to these limitations, Eddie’s team received an unacceptable number of false positives, consuming too much time and frustrating legitimate customers.

Ikano Bank turns to IDVision with iovation for help

iovation's device recognition technology uses thousands of permutations of device attributes to identify every phone, tablet and computer visiting Ikano Bank’s loan application page instantly, and recognize them over time with persistent device IDs. With real-time access to more than five billion device IDs in iovation’s global database, Ikano Bank gained instant visibility into the reputations and associations of the devices accessing its digital properties.

Once Ikano Bank had iovation’s FraudForce solution implemented, Eddie and his team began to place evidence of fraud against the offending devices in iovation’s Intelligence Center, the world’s richest device reputation database. From then on, devices used to submit fraudulent applications could be flagged for review automatically. No combination of cookie clearing, IP spoofing, use of Tor or proxies, or other tricks can fool iovation.

Immediate and decisive results

“We implemented iovation in the fourth quarter of 2016. Results appeared immediately. It was huge,” says Eddie. “By the end of the quarter, we’d reduced our fraud losses from impersonation by 72%. By the end of Q1 2017, we stopped almost all impersonation attempts.”

As a result of the savings from stopping that impersonation fraud, Eddie estimates that iovation yielded an ROI of 850% over those first two quarters alone. Now that the fraud ring has been stopped, this impressive ratio has corrected, but Ikano Bank definitely intends to keep iovation in its set of fraud-fighting tools.

Since implementation, Eddie says iovation has:

  • helped Ikano Bank to identify more fraud every day;
  • increased the amount of time his fraud team has to decide how to treat new, questionable applications;
  • cut through the ‘noise’ of conflicting data provided on applications;
  • slashed false positives; and
  • supported a more data-driven approach to their investigation of suspected fraudsters.

“Looking ahead, we’re asking ourselves how we can use iovation’s data in other ways,” says Eddie. “We’re learning to integrate evidence from other iovation users into our decisioning process. We expect it will help us uphold our responsibilities for Anti-Money Laundering and Countering Terrorism Financing. And we are beginning to explore how iovation’s data can help us understand our customers better, and identify bad debt behavior faster.”