Darwinium Behavioral Identification is a continuous user verification and fraud detection solution that analyzes behavioral patterns to distinguish legitimate users from fraudsters across digital journeys. Rather than relying solely on static credentials (passwords, tokens, device IDs), it layers behavioral biometrics, device intelligence, location data, and transactional patterns to build a persistent behavioral profile for each user. Core analytical dimensions include: - Physical behavior (behavioral biometrics): keystroke dynamics, mouse movements, swipe gestures, tap patterns, and device tilt - Digital identity patterns: device, browser, location, IP profile, network configuration, and proxy usage - Transactional and journey behavior: login frequency, session duration, payment volumes, navigation sequences, and checkout flows The product uses a proprietary Behavioral Identity Graph that combines identity, network, device, location, behavioral biometrics, and journey data. Darwinium Digital Signatures enable user behavior comparisons independently of fixed identifiers such as device IDs or credentials. Deployment options cover CDN edge infrastructure, web (JavaScript tags with first-party profiling), mobile (Android and iOS SDKs), and API endpoints. The solution monitors API routes with sequence, discovery, and parameter-aware controls. Risk decisions are automated in real time, enabling immediate action against detected threats such as bots, account takeovers, and social engineering attacks, while minimizing friction for recognized legitimate users.