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Description
Accurately differentiating between authentic users and potential threats requires the real-time identification of unique devices and the analysis of global historical data. However, device characteristics may evolve over time, which can lead to misidentifying the same device as a different entity. It is essential to gather ample data while ensuring user privacy is upheld, particularly in light of rigorous data protection laws. As new devices and operating systems are frequently introduced, remaining current and flexible is crucial for effective identification. Additionally, linking multiple device profiles to a single user necessitates a robust capability for cross-device tracking to maintain accuracy. There is also the challenge of manipulating user-agent information sent by browsers or applications to replicate legitimate device behavior. Maintaining a distinct device ID can be complicated when it faces tampering, modifications, or hijacking attempts. Moreover, distinguishing each device becomes increasingly difficult in challenging scenarios, such as factory resets, altered device locations, the detection of group control tools, script-based manipulations, and app reinstalls. Continuous innovation in detection techniques will be essential to address these evolving challenges effectively.
Description
Verisoul employs a sophisticated system that utilizes various fingerprints to seamlessly match user accounts. Instead of relying on device IDs, we focus on providing match probabilities, which significantly minimizes false positives and lessens the engineering efforts required. Our innovative approach effectively combats multi-accounting and fraud through advanced device fingerprinting techniques. This allows us to prevent individual users from establishing multiple accounts while also enabling the identification of instances where the same account is accessed via different devices. Moreover, we are equipped to detect anomalies or spoofed fingerprints, ensuring the integrity of user data. Our method incorporates multiple layers of device, browsing, and TCP attributes, enabling us to match users across different browsers—a capability that sets us apart from the competition. By generating numerous fingerprints and utilizing probabilistic matching rather than relying on a singular binary device ID, we achieve highly accurate connections and drastically reduce the likelihood of false positives. Our state-of-the-art spoof- and lie-detection technology ensures that the information received from devices reflects true conditions, allowing us to identify anti-detect browsers that may deceive other providers. Additionally, our system collects device, browser, and network data without introducing any noticeable latency, enhancing the overall user experience and operational efficiency. This comprehensive approach ensures that we remain ahead in the fight against fraudulent activities.
API Access
Has API
API Access
Has API
Integrations
Android
Apple iOS
HTML
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$99 per month
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
TrustDecision
Founded
2018
Country
Singapore
Website
trustdecision.com/solutions/device-fingerprint
Vendor Details
Company Name
Verisoul
Country
United States
Website
www.verisoul.ai/products/device-fingerprinting