Network security guides covering suspicious IPs, bots, VPNs, proxies, ASNs, threat intelligence, and fraud signals.
Effective IP-based fraud detection combines location, network type, reputation, request velocity, identity signals, device data and transaction context together — no single factor reliably identifies fraud on its own.
Network fingerprinting infers characteristics about a system from how its traffic behaves — a mix of active and passive techniques with real uncertainty, especially against encrypted traffic and middleboxes.
Fraud teams use browser fingerprinting to link related sessions and flag anomalies — balancing real detection value against instability, accessibility concerns, and the false positives that come with any fingerprinting method.