Verisoul Device Fingerprinting vs. Fingerbank

Verisoul has developed an advanced system that employs a variety of fingerprinting techniques to effectively match user accounts. Rather than depending on device IDs, our focus is on generating match probabilities, which greatly reduces the occurrence of false positives and the engineering workload involved. Our cutting-edge strategy tackles multi-accounting and fraud through sophisticated device fingerprinting, allowing us to restrict users from creating multiple accounts while also detecting when the same account is accessed from different devices. Furthermore, we can identify anomalies or spoofed fingerprints, thereby safeguarding user data integrity. Our method features multiple layers of device, browsing, and TCP attributes, enabling seamless user matching across various browsers—this distinctive capability sets us apart within the industry. By creating a multitude of fingerprints and opting for probabilistic matching instead of a single binary device ID, we ensure highly precise connections and significantly lower false positive rates. Our advanced spoof- and lie-detection technology further guarantees that the data received from devices accurately represents real conditions, equipping us to identify anti-detect browsers that might mislead other providers. Additionally, our system gathers device, browser, and network data without causing any perceptible delays, thereby improving the user experience and operational effectiveness. This holistic strategy not only enhances our ability to combat fraud but also positions us as leaders in the ongoing battle against deceptive practices. Ultimately, our commitment to innovation allows us to stay one step ahead of emerging threats in the digital landscape.

Fingerbank offers an array of tools aimed at identifying network devices through their distinct network fingerprints. These fingerprints play a crucial role in various applications, including enabling Network Access Control systems like PacketFence to modify network permissions based on the type of device that is connected, such as a gaming console or a laptop. Fingerbank recognizes the typical behaviors of devices on a network, including their communication patterns, and is capable of detecting any deviations from these expected norms. Our technology consistently analyzes data to uncover common trends among network devices, allowing us to generate alerts when a device demonstrates abnormal activity. Upon connecting to a network, a device discloses important information across different layers of the networking stack. The Fingerbank collector can generate an accurate fingerprint of the device while utilizing insights and algorithms from the Fingerbank cloud API for precise identification. This functionality not only bolsters security but also improves network management by guaranteeing that devices are granted appropriate access levels. Furthermore, by continuously monitoring device behavior, Fingerbank enhances its ability to adapt to evolving network environments, ensuring optimal performance and security.