Traditional security tools rely on static rules or outdated blacklists, which often fail against fast-moving travel fraud tactics like triangulation scams, seat scalping bots, and loyalty abuse. CrossClassify uses real-time behavior intelligence and device fingerprinting tuned to travel-specific patterns, identifying fraud across logins, bookings, and checkouts.

Our travel fraud prevention engine continuously learns from cross-channel data, covering OTAs, airlines, and hotel platforms,to block threats early without harming the user journey.

Unlike traditional security layers that focus only on payment fraud, CrossClassify protects the full travel user journey, including account takeover attempts and frequent flyer abuse.

Our system detects suspicious logins, location mismatches, device-switching, and loyalty point reselling patterns across the user session. That ensures travel loyalty programs are not drained or hijacked.

Generic fraud solutions don’t understand the nuances of travel behavior, but CrossClassify does. We analyze geo travel paths, booking velocity, route logic, and even device hopping to assign each session a fraud risk score tailored for the travel domain.

From fake travel agent sites to mass bot checkout attempts, our system uncovers patterns unique to airlines, OTAs, and hotel systems.