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Your travel fraud posture at a glance
Last 7 days
Last 30 days
0
/ 100
Moderate
Protection score
0 out of 100
Measures how well CrossClassify is protecting your travel platform from fraud, based on booking and traveler activity reviewed over the selected period.
Fraud checks completed
0
Last 30 days · Booking and traveler activity reviewed during the selected period.
No issue detected
0
No suspicious activity was detected. No action is needed.
Issues to review
0
Suspicious activity was found and may require investigation.
Fraud checks by risk area
See which areas were clear and where suspicious activity was found.
12 of 20 found no issue
60% clear · 8 need review
11 of 20 found no issue
55% clear · 9 need review
13 of 20 found no issue
65% clear · 7 need review
12 of 20 found no issue
60% clear · 8 need review
11 of 20 found no issue
55% clear · 9 need review
Bookings and accounts being checked now
New activity appears here as CrossClassify checks it for suspicious behavior.
Live demo · Simulated activity
Active protection plans
Manage all →
🛡
ActiveStop fake account openings
Nearly 22% of travel loyalty accounts are created using synthetic or stolen identities, leading to bonus abuse and ticket fraud.
88%
🤖
ActiveEnforce bot detection on bookings
Over 30% of flight search traffic comes from bots scraping fares, blocking seats, and inflating demand artificially.
88%
⚡
Needs reviewProtect travelers with biometrics
Behavioral biometrics help identify 68% of abnormal booking patterns, preventing fraud while keeping the process frictionless.
65%