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User Account Scoring and Application Screening Powered by AI & Machine Learning
Fake account detection is a constant battle for most online companies. Manually reviewing user accounts, profiles, and applications for fraudulent behavior can be extremely time consuming, even for large teams. Detecting low quality sign ups, fake account data, and duplicate accounts is a challenging task, especially with a growing trend for fraudsters to utilize stolen user data. The internet also provides many resources to assist fraudsters including disposable email addresses, proxy/VPN connections to spoof IP addresses, and even access to virtual phone numbers for SMS verification.
The best approach to user verification and application screening is to automate quality control so that high risk accounts can automatically be banned, blocked, or set to a restricted account level. This can greatly free up your compliance team and other staff to work on more productive tasks such as marketing, sales, and growth.
IPQS uses a combination of reputation scoring (name, phone, email, address, IP address, etc.), machine learning, AI, and intelligent pattern recognition to automatically identify fake accounts without impacting your user experience. Reputation checks with our phone validation service can detect malicious behavior and suspicious users with pinpoint accuracy. Layering these checks with validation for other user data provides overlapping coverage that exposes fraudsters every time.
Improve user quality with real-time detection for duplicate accounts and fake user data. Perform dynamic user reputation checks across every aspect of your user's data.
Prevent Fake Accounts
Restrict Risky Accounts
Identify Related Accounts
IPQS' Device Fingerprinting technology can assign each user a super tracking ID which stays with the user as they switch devices. When new accounts and profiles are created, the super tracking ID can be matched up to identify existing accounts with the same device ID. Beyond duplicate detection, devices can be analyzed for patterns of fraud and malicious behavior intent. Real-Time Fraud Scores are assigned to each user so suspicious and higher risk users can easily be identified and restricted from making purchases or from accessing full features of a site, useful for sites that offer free trials or have a free user account type.
Score additional information with IP reputation lookups, email address reputation, and transaction data to enhance the user's overall risk profile. IPQS tracks over 50 million email addresses that have recently engaged in fraudulent behavior scores over a billion IP addresses per day. Machine learning algorithms and AI extract trends and behavioral patterns from this data to ensure that emerging fraud rings and newer types of abuse are quickly detected across all of IPQualityScore's fraud prevention tools. All IPQS users can take advantage of this feature that leverages user behavior data from across thousands of the internet's most popular sites.
IPQS makes it incredibly easy to integrate quality control for user accounts and profiles into any site or app. Simply create a new Device Fingerprint tool through the IPQS dashboard and deploy it on your site. You can immediately start storing device IDs and similar data for each user account. Save hours per day managing duplicate account fraud by letting IPQS' proven solutions tackle these challenges.
View available integrations that make it easy to track duplicate accounts and enable fake account detection with your favorite apps.