Fingerprint is a visitor identification and fraud detection platform that generates persistent, unique identifiers by analyzing browser and device attributes. By extracting technical signals from the client environment, it enables reliable user tracking across sessions without relying on traditional cookies.
The platform distinguishes itself through its focus on high-accuracy identification and security-first architecture. It employs edge-side proxying to bypass ad-blockers and privacy restrictions, ensuring consistent data collection. To maintain data integrity, it uses cryptographic payload sealing and server-side verification flows, which prevent tampering by ensuring that identification data is processed securely on the backend rather than solely on the client.
Beyond core identification, the project provides a comprehensive suite for bot detection and security. It analyzes network metadata, device reputation, and behavioral patterns to identify malicious traffic, AI agents, and automated scrapers. These capabilities are supported by granular risk assessment tools, including confidence scoring and protection rulesets that allow for automated blocking of suspicious interactions.
The platform offers extensive administrative and integration features, including multi-environment resource isolation, regional data residency controls, and programmatic API management. It supports diverse deployment environments through framework-specific SDKs, mobile integration, and automated proxy infrastructure deployment.
