What is Verisoul ?
Verisoul is a digital security tool designed to prevent fake accounts, multi-accounting, bots, and various fraud types. It supports organizations by analyzing numerous fraud indicators like device characteristics, network data, user behavior, and more. Verisoul offers frictionless and automated security, letting businesses block fraudulent activity without heavy manual reviews. Its AI-driven insights and comprehensive signals help identify risky behaviors and verify genuine user interactions, thus protecting digital platforms while ensuring a smooth user experience.
Key Features of Verisoul
- Device Fingerprinting: Tracks devices to detect repeat and hidden accounts, even across browsers or in incognito mode.
- Account Linking: Links accounts based on similarities in devices, networks, and other signals to prevent multi-accounting.
- Bot Detection: Uses behavior analysis, such as click and touch patterns, to distinguish bots from human users.
- Email Intelligence: Detects disposable or temporary emails and flags potential fraud using email verification.
- Proxy & VPN Detection: Identifies VPNs, proxies, and data center access to ensure users are from trusted locations.
- Device Risk Analysis: Examines hundreds of device metrics to flag risky devices, like emulators or virtual machines.
- Geolocation: Tracks real user location to block access from restricted regions or flagged IP addresses.
- Phone Intelligence: Verifies phone numbers, ensuring they are real and belong to a low-risk category.
- Face Matching: Uses advanced biometrics to prevent account duplication by facial recognition.
- Automated Workflows: Enables real-time workflows to block suspicious accounts or require additional verification steps.
- AI Fraud Analyst: Investigates suspicious accounts through AI-driven insights, providing reasons for flagging fake accounts.
These features offer real-time fraud detection and prevention tailored to specific security needs, making Verisoul a valuable tool for businesses facing high volumes of digital fraud.