Darwinium is a cyberfraud prevention platform that operates at the network perimeter edge by integrating with Content Delivery Networks (CDNs) via edge workers. It provides visibility into user behavior across every touchpoint of the customer journey, enabling real-time detection and response to fraud threats. The platform collects data at the network level by default, including browser fingerprints, JA3 fingerprints, user agent, and primary IP address. When configured, it can capture over 800 data points, including VPN and DNS IP details, device/OS/browser fingerprints, and behavioral biometrics across keyboard, mouse, touch, and sensor inputs at the page and form-field level. Darwinium is designed to address fraud scenarios that bypass traditional point-in-time solutions, including: - Business logic abuse targeting legitimate application workflows - AI-powered low-and-slow bots that evade rate controls - Scams and social engineering, identified through journey behavior anomalies, coercion signals, and unusual payment patterns Key operational characteristics include: - Microsecond latency for real-time decisioning at the edge - Privacy-by-design with edge-based encryption and anonymization, supporting GDPR and CCPA compliance - Fail-open architecture with no DNS redirects, reducing single points of failure - Data stored within the customer's own infrastructure - Orchestration of customer journeys through a management portal