The power of artificial intelligence (AI) is undeniable, but in the wrong hands, it can be devastating. To combat this possibility, Jumio, the automated, end-to-end identity verification, risk assessment and compliance solutions provider, has launched its Jumio 360° Fraud Analytics at Money20/20 USA.
According to Jumio’s analysis, 25 per cent of fraud is interconnected — either perpetrated by fraud rings or by individuals using the same information or credentials to open new accounts. These can be on banking sites, e-commerce platforms, sharing economy sites and more. To help combat this, the new Jumio feature uses AI-driven predictive analytics to identify fraud patterns with more sophistication and accuracy.
“Today we are pushing the industry to evolve once again by harnessing the power of predictive analytics to identify fraud patterns across our vast network. This will allow us to identify and stop fraud rings and other coordinated attacks with more accuracy than ever before.” – Robert Prigge
How it works
It looks beyond simple linkages, such as flagging someone because they are connected to a known fraudster. Instead, it looks at billions of data points across Jumio’s cross-industry network to identify patterns based on behavioural similarities and other indicators.
Using graph database technology with a layer of machine learning, it groups identity transactions into clusters across the network and determines the fraud risk of each cluster. This provides a multi-dimensional view of each transaction and the cross-customer ecosystem as a whole.
Further features include:
- AI-driven predictive analytics determine the likelihood of fraud risk for each identity transaction based on its cluster association
- The predictive fraud score can automatically reject identity transactions. Furthermore, it can stop fraudsters from accessing your platform in real time
- Dashboards provide transparency and help you visualise connected data
A worthy addition
Today, when a user goes through the ID verification process, Jumio performs a wide variety of advanced fraud checks. With the addition of Jumio 360° Fraud Analytics, the identity transaction will also be compared to the clusters and generate a predictive fraud score that can be used to automatically reject the transaction if it exceeds a certain threshold.
Jumio’s initial studies show that this approach improves its existing, highly accurate fraud detection rate by at least 30 per cent — without increasing the false rejection rate. Business users can audit the reasons behind the decision in the Jumio Portal or via APIs.
Jumio 360° Fraud Analytics is currently available in early release to select customers. It will be generally available in early 2024.
“Because explainability is a key requirement when using automation, we provide insights on why the identity transaction was rejected,” said Philipp Pointner, Jumio chief of digital identity. “We also provide a graphical representation of the high-level linkages we found. This makes it easy to see connections between people, documents, devices and more. The combination of sophisticated analytics and easily consumable insights makes this new technology a game-changer for fighting fraud.”
“Jumio revolutionised online identity verification when it pioneered the ID + selfie approach,” said Robert Prigge, Jumio CEO. “Today we are pushing the industry to evolve once again by harnessing the power of predictive analytics to identify fraud patterns across our vast network. This will allow us to identify and stop fraud rings and other coordinated attacks with more accuracy than ever before.”
