NeuroID-Fristionless-Protection

Real-time insights for frictionless protection

Tracking how every user interacts with your digital forms reveals their intentions in real time, so you can respond quickly. Our behavioral analytics capabilities, powered by NeuroID, provide a seamless, invisible gauge of user risk, without capturing additional personally identifiable information (PII).

man working on laptop

Stop more fraud. Protect customer data. Reduce data calls.

By capturing risk at the very top of your fraud stack, behavioral analytics helps you proactively mitigate fraud, reduce false positives and streamline risk detection, ultimately creating a secure and frictionless experience for trustworthy users — while locking out fraudsters earlier.

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Expand your risk appetite (without adding more risk)

Leveraging behavioral analytics in fraud detection strategies provides reliable top-of-funnel fraud decisioning, so you can accept higher-risk customers without adding business risk. Your trustworthy users get a seamless experience, while risky users don’t make it in the front door.

Next-gen bots are getting past your fraud stack

Traditional bot detection techniques — such as IP blocklists, user-agent checks and heuristic behavioral rules — once worked well against fraud bots. But next-gen bots have rewritten the rules, now leveraging generative learning to bypass these defenses.

2x increased bot volume

In June 2024, fraud bots led 2x more attacks than they did in January 2024. Highly sophisticated bots that can mimic human behavior are being deployed by fraudsters en masse.

95% of bots detected were highly sophisticated

In a study of our behavioral analytics customers, 95% of bot attacks included next-generation bots that were able to overcome today’s standard fraud stack (and were only caught with our behavior signals).

100% of digital businesses are targets

Fraud leaders have long assumed that sophisticated bots target only high-profile businesses. But in a seven-week study of customer data, every single fraud bot attack included a formidable force of next-generation bots.

Frequently asked questions

Behavioral analytics is passively gathered through a simple JavaScript or SDK as a user interacts with a digital application or form. As the user types, swipes, moves their mouse and performs other micro-level interactions, behavioral data is collected, including how the user inputs information and navigates the form. Behavioral analytics focuses on intent rather than personal data, identifying patterns that indicate suspicious activity.

Behavioral analytics is anonymized data that focuses on identifying a user’s digital intent. Behavioral biometrics builds a profile based on continuous monitoring and pattern matching for a specific user, matching fingerprints, voice, facial recognition and similar traits to a unique identity.

GenAI fraudsters can replicate static data, but mimicking human behavior remains challenging. Behavioral analytics detects subtle interaction patterns that are extremely difficult for GenAI-driven fraudsters, including fraud rings and next-generation fraud bots, to replicate.

Insights

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