GeoComply Core vs. Fingerbank

Improve the accuracy of location information for verifying digital identities, preventing fraud, and adhering to regulatory frameworks. Verify the user's geographical position and assess it against compliance criteria to ensure that they are situated within the designated area or zone. This strategy not only increases acceptance rates for legitimate users but also significantly reduces the incidence of fraudulent activities. By merging device, location, and identity intelligence, the system is capable of confirming and validating the authenticity of the reported location. It creates a device fingerprint by analyzing various fraudulent device behaviors, which may include jailbroken devices, misleading location applications, and emulators. Moreover, it protects against dishonest user behaviors such as location hopping, account sharing, and unauthorized access to accounts. By integrating all available geolocation signals, such as WiFi, GPS, and GSM, along with innovative technology, the efficacy of location data is markedly improved. Additionally, it identifies sophisticated location spoofing methods, which encompass the use of VPNs, data centers, anonymizers, proxies, and Tor exit nodes, thereby providing a robust defense against advanced fraud attempts. This comprehensive strategy not only strengthens security measures but also reassures users that their personal information is securely managed. Ultimately, the enhanced capabilities ensure a safer digital environment for all users.

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.