Fraud detection company DataVisor has teamed up with Experian to integrate the company’s “unsupervised machine learning powered transactional risk assessment capabilities” into the Experian CrossCore platform. The move will help detect fraud patterns, the companies said in a press release.
“We share a common mission to make digital transactions safe, secure and seamless, and we are committed to providing the most advanced, future-facing solutions possible to their clients,” said DataVisor CEO and Co-Founder Yinglian Xie in the release. “We’re also aligned in the belief that machine learning is one of the keys to delivering frictionless customer experiences through advanced fraud prevention strategies, and we know that when it comes to the complexities and sophistication of modern, digital fraud, if you are just keeping up, you are already behind.”
The Experian CrossCore platform is powered by machine learning (ML) mechanisms, and DataVisor is integrating its dCube technology with Experian. dCube was built to detect fraud early with an ML engine, without the need for training data or labels.
“We are committed to providing businesses with resources to more easily detect fraud behavior and protect people’s identities — and advanced technology, such as machine learning is pivotal to that process,” said Steve Pulley, Experian’s executive vice president of Global Identity & Fraud Solutions. “The addition of DataVisor’s unique capabilities as a complimentary backing service to CrossCore brings another layer of transaction risk analytics and insight into our already robust set of fraud and identity capabilities and will better position businesses to address their growing fraud challenge.”
Experian offers fraud as well as identity services in over 44 countries, and it developed CrossCore to help address the need for faster and easier ways to minimize fraud risk. The platform helps organizations manage all their services through one access point — one that provides a layered approach throughout providers.
DataVisor has more than 4.2 billion accounts across the world and protects with its “advanced ML algorithms, unrivaled domain expertise, vast global intelligence, and holistic data analysis capabilities.”