Prevent fake account creation with real-time fraud risk intelligence
Block synthetic IDs and suspicious behavior before signup completion
Solutions
AO issues we resolve
CrossClassify detects and blocks the following attack vectors.
Multi-Accounting Fraud Prevention
Block users creating multiple accounts to exploit promotions, free trials, or gain unfair advantages. Detect repeat devices and behavioral patterns using multi-account fraud detection tools.
Synthetic Identity Fraud Detection
Identify and stop synthetic ID fraud by analyzing device, behavior, and geo patterns at signup. CrossClassify prevents fake identities built with stolen or fabricated information.
New Account Fraud Protection
Detect fraudulent new signups before they reach your platform. Our solution blocks fake and malicious accounts used for scams, bonus abuse, and bot attacks.
Bot-Based Signup Detection
Stop automated bots creating fake accounts at scale. CrossClassify uses device fingerprinting and behavioral signals to block bot-driven account fraud.
Bonus Abuse Fraud Detection
Prevent fraudsters from creating fake accounts to exploit referral or signup bonuses. Detect repeated fraud attempts using device and behavior analytics.
Fake Review Account Blocking
Stop review fraud from fake or duplicate accounts used to manipulate product ratings or brand reputation. Ensure only trusted users leave feedback.
Loyalty and Referral Fraud Defense
Detect and block loyalty fraud and referral system abuse through account duplication and device manipulation.
Free Trial Fraud Protection
Prevent repeated use of free trials using fake accounts. Stop users from creating new accounts to bypass trial limits and gain ongoing free access.
Subscription Fraud Detection
Block users who use fake identities or stolen payment methods to abuse subscription models. Score user risk at the point of signup.
Ban Evasion Fraud Prevention
Detect and block users evading bans by creating new accounts with device spoofing or VPNs. Fingerprint devices and behavior to enforce bans.
Our Approach to AO Protection
We use the latest industry-level technologies to monitor and detect abnormal activities to prevent account takeover.
Continuous Monitoring of Account Creation Risk
Behavior Analysis of New User Signups
Geo Analysis of Account Registration Attempts
Link Analysis Across Signup Attempts
Enhanced Security and Signup Fraud Accuracy
Seamless Integration into Onboarding Flows
Alerting and Notification of Suspicious Signups
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Latest from Cross Classify
Frequently asked questions
CrossClassify detects account opening fraud early by analyzing behavioral, identity, and device-based signals before accounts are created.
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CrossClassify identifies patterns across digital identity, device usage, and behavioral signals to detect fraud during account creation.
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CrossClassify uses behavioral biometrics and device fingerprinting to flag these anomalies instantly.
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CrossClassify applies continuous adaptive risk and trust assessment to block high-risk applications without impacting UX.
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CrossClassify’s fingerprinting technology links risky behaviors to devices, even if the attacker changes identity or IP address.Read more in our articles on How Does Device Fingerprinting Work? and Device Fingerprinting: Revolutionizing Digital Security and Beyond
CrossClassify builds risk scores using these behavioral patterns to stop bot-driven account creation.
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CrossClassify detects inconsistencies across behavioral and device fingerprints to identify synthetic identity fraud in real time.
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CrossClassify adds intelligence at the point of onboarding—detecting fraud that WAF and MFA miss.
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CrossClassify links behavior and device data to block fraudulent sign-ups before rewards are issued.
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It enables adaptive trust models that balance fraud prevention and user experience.
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Let’s Get Started
Discover how to secure your app against fraud using CrossClassify
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