Frictionless, End-to-End Fraud Protection
Detect fraud faster anywhere user interaction occurs. Get more detailed views into fraud rings, malicious bots, and more. Fill in gaps in your fraud stack without adding to the noise.
Stop Third-Party Fraud Anywhere User Interaction Occurs
Tracking how humans and bots interact with your digital forms shows you their intentions in real-time, so you can react in real-time. NeuroID gives you a behind-the-scenes, frictionless way to measure users’ intentions at any point during the customer journey. Without capturing any PII or relying on biometrics, our behavioral analytics doesn’t look at what data is entered, but how it is entered.
By measuring the “how,” NeuroID can determine if the user is:
A potential fraudster
A Potential bot
familiar with the PII entered
Identify Risky Users. Protect Customer Data. Supercharge Growth.
Enhanced with device and network intelligence, NeuroID detects invisible markers left by users’ data entry behavior, device, and network so you can stop more fraud sooner. As AI-powered scripts and AI-generated synthetic identities become commonplace, behavioral analytics is one of the strongest tools for reducing fraud and giving trustworthy customers a seamless experience.
Can You Stop a Fraud Attack in Real-Time?
The average financial service company experiences a fraud attack every other week.
With most attacks lasting about a day, NeuroID’s real-time alerting to spikes in risky behavior can ensure that in-and-out fraudsters are proactively stopped before they can do any damage.
What is a Crowd Alert?
By tracking the number of risky users coming to an application at any given time, NeuroID is able to alert clients when they experience abnormal spikes.
Risky users demonstrate low-to-no familiarity with the PII they provide and are often associated with fraud rings or bot activity. In addition to alerting of escalated risky user traffic, NeuroID provides visualizations to help you understand your traffic by risk level, with breakdowns of where they came from and what checks they’ve already made it past.
To accurately identify when increases in risky behaviors are taking place, NeuroID considers the following:
Volumes of Fraud Ring and Low Familiarity indicators are normalized against total session volumes. This ensures that an increase in Fraud Ring and/or Low Familiarity users appear with a corresponding increase in total traffic and will not mistakenly generate an alert.
Normalized values as compared against historical data (accounting for calendar cycles) and then thresholded to identify only those time windows where the normalized Fraud Ring and Low Familiarity volumes are significantly higher than the expected historical mean(s).
Stop Even the Most Sophisticated Fraudsters Before They Strike.
Even perfect PII can’t mask the invisible markers NeuroID detects to stop fraudsters, including checking in real-time for:
- Chunking Data Entry
- Irregular Mouse, Swipe Touch, Phone Movement
- Entry Out of Order
- Multiple Sessions a Day
- Accessed via Tor Network
- Suspicious Device Configuration
Proactive Fraud Prevention That Stays Ahead of Attacks
Fraudsters have no budget constraints, compliance requirements, or approval processes holding them back from implementing new tools to attack your stack. Read our latest research report to help you predict and counteract fraud rings, malicious bots, and other cybercriminals who would normally slip through unseen gaps.
For Every Season, There’s a Fraud Trend
69%
Summer months may be slow, but 69% of attacks in August were fraud rings.
50%
May attacks were a staggering 50% above baseline for the year.
13%
In September, every attack had 13% above average attackers per attack: a 74% point jump in just one month.
See how your peers protect their platforms, minimize user friction, and reduce their fraud costs.
Jovia achieved a 35% reduction in daily fraud applicants and refined their fraud prevention for nationwide growth.
Elevate’s visibility into crowd-level behavior enabled them to see, segment, and be alerted to spikes in fraud ring applicants, bot applicants, and other bad actors.
Addi closed out several fraud vectors entirely, and improved decisioning for reduced costs of reviews and more accurate rejection at top-of-funnel.
Read More About Behavioral Analytics from the Fraud Experts.
Don’t Fall Behind the Fraudsters.
Integrate frictionless behavioral fraud intelligence that protects your entire user lifecycle, from a partner who understands your needs.