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The Next Step in our Commitment to Fraud Prevention

Published: August 13, 2024 by Robert Boxberger

Amid the rise in usage of generative AI tools, companies across industries are looking for fraud detection strategies that enable them to combat sophisticated fraud schemes now and in the future. At Experian, we’re committed to ensuring our clients can make the most informed, data-driven decisions to protect the customers they serve while mitigating risk.

To support this, today we’re excited to announce our acquisition of NeuroID – an industry leader in behavioral analytics. NeuroID combines the power of behavioral analytics with advanced device and network intelligence to create the first line of defense against malicious bots, bad actors, and fraud rings. This can help clients identify everything from identity theft to account takeover fraud from the very first interaction.

NeuroID’s modern and frictionless capabilities amplify Experian’s fraud risk suite by providing a new layer of insight into digital behavioral signals and analytics observed for both new and returning users throughout the customer lifecycle. 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.

Experian has a long legacy of providing award-winning fraud and identity solutions to protect companies and their customers. Last year alone, our identity verification and fraud prevention solutions helped clients avoid an estimated $15 billion in fraud losses globally. Adding NeuroID to the Experian family is another step in our commitment to continuous innovation in fighting fraud and helping clients and consumers keep pace with the evolving identity landscape.

NeuroID’s behavioral analytics solutions are available now through CrossCore® on the Experian Ascend Technology Platform™ as a key fraud-detection capability. With NeuroID seamlessly integrated into Experian, clients can use one service provider to proactively monitor and analyze a user’s real-time digital behavior. To learn more, click here.

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