NeuroID

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Experian NeuroID is a behavioral analytics solution that helps fraud, identity, and risk teams identify suspicious digital behavior before an application, login, account change or transaction is completed. The platform analyzes how users interact with digital forms and applications, including typing patterns, mouse movements, edits, hesitation, copy-and-paste activity and navigation behavior. Alongside device and network intelligence, these behavioral signals can help organizations distinguish legitimate customers from malicious bots and fraudulent users. NeuroID supports use cases including onboarding fraud, synthetic identity fraud, account takeover, fraud rings, stolen identities, scams, promotion abuse and automated bot activity. The solution can provide real-time risk signals to existing fraud detection, identity verification and decisioning workflows without requiring legitimate users to complete additional steps solely to generate behavioral intelligence. Key capabilities include behavioral analytics, real-time risk signals, bot detection, device intelligence and protection across the customer lifecycle. Experian reports customer outcomes including a 62% reduction in auto-approved onboarding fraud at a top-five bank, a 2x increase in post-login fraud detection for a financial services organization and more than $1.4 million in annualized savings for a global money transfer provider.

Ascend Fraud Sandbox

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The Experian Ascend Fraud Sandbox is an intelligence platform designed to help financial institutions optimize fraud strategy and drive revenue growth. By unifying credit, fraud, and cross-industry data within a secure, always-on, self-service analytics environment, it gives fraud analysts, data scientists, and strategy teams deeper visibility into fraud performance, identity behavior and strategy effectiveness. Rather than focusing solely on stopping fraudulent activity, the platform enables teams to explore data, identify emerging fraud patterns, engineer features, and build, validate and continuously improve fraud and identity models. By combining organizational data with Experian identity and fraud data in a single secure environment, it supports faster experimentation and more informed fraud strategy development, so teams can measure, test and refine strategies as a standing capability rather than a one-off project. Teams can use the sandbox to investigate new fraud signals, compare model performance, test features, and validate strategies, collaborating across fraud and analytics functions. Key capabilities include fraud data exploration, feature engineering, model development, model validation and fraud pattern analysis. The result is a more agile, data-driven approach to fraud optimization that improves decision quality, helps organizations adapt to emerging threats and reduces the time required to move from analysis to an approved fraud strategy. Built on the Experian Ascend Platform, the Fraud Sandbox may support integration with existing analytics, decisioning, and fraud-management environments, turning fraud decisioning from a reactive control into a continuously optimized lever for long-term business growth.