Detect fraud anywhere user interaction occurs.
How It Works
NeuroID is the global leader in behavioral analytics. Our solutions look at how humans or bots are interacting with your digital forms to evaluate their intention in real-time. Behavioral analytics is a behind-the-scenes, frictionless way to measure users’ intention. We don’t see what data users enter, just how they enter it.
By measuring the way a user interacts with a form field (website or mobile app), we can determine if the user is:
A Potential bot
familiar with the PII entered
A potential fraudster
NeuroID analyzes user behavior, IP, and device intelligence through machine learning to accurately detect and predict fraud risks. We also detect non-risky behavior, which our customers then use to segment known trustworthy consumers and provide them preferential treatment.
Where NeuroID Integrates
Track Risky Users and Get Real-Time Alerts
Crowd alerting tracks the number of risky users coming to an application and alerts clients when they experience abnormal spikes in risky behavior.
With the average financial service company experiencing an attack every other week, these short bursts of risky activity are cues that fraudsters find an application attractive. Their behavior may be an an exploratory probe of security systems to prepare for a more prolonged attack or a sign fraud mitigation tools are successfully deterring attackers from pursuing anything further. With most attacks lasting about a day, a real-time alert to spikes in risky behavior can ensure that in-and-out fraudsters are recognized.
Read The Anatomy of a Fraud Ring Attack report
A credit card issuer prevented $860K of losses during a 2-week fraud ring attack that bypassed existing fraud systems. A leading Buy-Now-Pay-Later flagged 2,200 applications tied to fraud ring activity that would have otherwise bypassed existing fraud controls over 3 months.
Your Fraud Detection Dashboard
NeuroID visualizes the behavior captured in digital experiences at the crowd- and session-level to provide insights. This visualized breakdown segments your applicants by their level of riskiness, showing you:
- What types of users (risky/genuine) are contributing to changes in application volumes; was it a successful marketing campaign or are you under a fraud attack?
- Which friction points fraudsters are moving through while causing trustworthy users to abandon
- The anatomy of a fraud attack; how and where fraudsters probed your system to plan their attack
Proven Results Across Top Organizations
Read how NeuroID has helped top organizations detect fraud and save money across the entire user journey.