NeuroID for account opening
Stop fraud at the front door, reducing data calls, manual reviews and auto-approved fraud.
NeuroID for account defense
Invisible customer protection across login, account management and transaction.
62%
reduction in auto-approved fraud at onboarding at a top 5 bank
2x
increase in post-login fraud detection at a leading consumer financial merchant
$1.4M+
in annualized savings at a global money transfer provider
Stolen IDs
Fraudsters using compromised identities lack innate familiarity with the data. NeuroID detects this unfamiliarity without collecting or storing any PII.
Synthetic IDs
NeuroID unmasks advanced, AI-driven synthetic identities by evaluating how PII is entered, not what is entered.
Malicious bots
Identify sophisticated bots by their frameworks, such as Puppeteer or Stealth, and through their behavioral patterns, including typing, transitions and cursor movements.
Promotion and discount abuse
Assess which users completing promo and discount fields are risky and which are trustworthy. By evaluating their behavior, device and network risk, NeuroID helps determine if promotions attract more risky users than trustworthy users.
Account takeover (ATO)
Record users’ unique data entry patterns with their login credentials, device and network information. When a fraudster attempts an ATO, behavioral mismatches expose risk in otherwise perfect credentials and PII.
Scams and coercion
Scam victims will act differently from those acting of their own accord. Behavioral analytics, plus remote access and call-in-progress signals, reveal when a user takes action under coercion.
Compromised card or bank account information
Behavioral signals reveal how familiar users are with the information they're entering, including billing addresses, helping to uncover stolen card data usage.
Intelligent Behavior-Based Risk Signals
Built on 1+ billion customer journeys across industries and countries, NeuroID’s solutions are the most sophisticated familiarity signals for fraud mitigation and user recognition. These signals are enhanced with device and network intelligence, both at onboarding and login.
Identifies users exhibiting behaviors typically associated with high-velocity fraud attacks
Looks for non-human activity (headless browsers, inhuman typing speeds, abnormally consistent transitions)
Compares current data entry patterns with those on record for the users’ login credentials
Determines if the device returning is the same as a previous session with up to 99.5% accuracy
Looks for properties that suggest the device has been modified for fraudulent or bot activity, such as with emulators, jailbroken apps, missing web properties, app hooking or GPS spoofing
Identifies how many different sessions and User IDs are associated with a single device
Lists of customer-provided and NeuroID-identified risky devices and IP addresses for automatic decline
Looks for properties that suggest the network is being masked through a VPN or IP address association (as well as abnormally consistent transitions) and sessions associated with TOR networks
Best-in-class behavior-first signals
Protect against third-party fraud of all kinds with our advanced behavioral analytics capabilities. First designed for onboarding, NeuroID’s friction-free behavioral signals provide best-in-class performance on day one with minimal tuning required.
Tailored guidance from fraud experts
Enhance your existing tools for a more precise fraud stack. Our experts tailor insights to your fraud needs, industry and use cases. We offer operational guidance on signal outcomes and workflows to help you find fraud faster, with no user friction.
99.5% accurate device recognition
NeuroID’s device identifier is up to 99.5% accurate for real-time recognition of returning devices. Paired with our machine-learned behavioral recognition, it forms detailed profiles that enhance your fraud prevention efforts from top to bottom.
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- Solutions
- Advanced analytics and modeling
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