Device fingerprinting collects data points such as device type, operating system, browser, screen resolution, IP address, location, time zone, language settings, and more to add to the risk data intelligence. Advanced algorithms analyze the collected data to identify unique patterns and combinations of attributes associated with each device and create a digital fingerprint profile for making informed risk decisions. Device fingerprinting plays a crucial role in monitoring online transactions. It helps detect suspicious activity, such as transactions from devices with unusual or inconsistent fingerprints. Device fingerprinting technology is a method used to uniquely identify and track devices, such as computers, smartphones, and tablets, based on their specific characteristics and attributes. This technology creates a digital fingerprint for each device by collecting information about the device's hardware, software, network configurations, and behavior.