Experian, the global data and technology company, announced that it has acquired NeuroID, an industry leader in behavioural analytics. NeuroID’s modern and frictionless capabilities amplify Experian’s fraud risk suite by providing a new layer of insight into digital behavioural signals and analytics observed for both new and returning users throughout the customer lifecycle, including account openings, logins and transactions.
NeuroID’s behavioural analytics solutions are available now through CrossCore on the Experian Ascend Technology Platform as a key fraud-detection capability. Experian’s identity verification and fraud prevention solutions helped clients avoid an estimated US$15 billion in fraud losses globally last year. With NeuroID seamlessly integrated into Experian, clients can use one service provider to proactively monitor and analyse a user’s real-time digital behaviour (for example, how they navigate a form and enter information).
The emergence of Generative AI-driven fraud has motivated companies across industries from financial services to healthcare and e-commerce to seek new types of fraud-detection technology, such as behavioural analytics, within their originations and account management fraud strategies. Insights from behavioural analytics help mitigate fraud in real time and prevent identity theft, account takeover, bot attacks, next-generation bot attacks and fraud rings — empowering businesses to provide a seamless customer experience.
“Our acquisition of NeuroID highlights our commitment to provide our clients with world-class data, analytics and insights to prevent fraud. Together with NeuroID, we’re excited to build new blended offerings that detect risk but also empower businesses to confidently navigate the online landscape and trust in their transactions,” said Robert Boxberger, President of Experian’s North American Identity and Fraud business. “In today’s highly competitive and digital-first world, the use of behavioural analytics is now vital for innovating for the future of fighting fraud.”
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