Fraud Management for Travel Platforms

Accurately uncover and block fraudulent reservations in real time. Protect good customers from account takeover and prevent losses from loyalty program fraud.

"DataVisor is cool for inverting this philosophy by putting the unsupervised machine learning approach in the forefront. Its clients benefit by being able to rapidly identify previously unseen fraud attacks and by not having to spend time and resources refreshing their fraud detection models regularly."

- Gartner Cool Vendors in Identity and Access Management and Fraud Detection

Continuous Protection Across the Customer Lifecycle

Safeguard customer accounts, protect inventory and reservations from fraud, and enable frictionless booking experiences for loyal customers.

Solutions for Every Fraud Type

Fake Accounts

Proactively block the mass registration of fake accounts to prevent downstream financial loss, brand damage, and customer churn.

Bot Attacks

Protect your platform against the speed, scale, and complexity of modern, bot-powered fraud attacks.

Promotion Abuse

Prevent financial loss, preserve brand reputation, and ensure valuable promotions reach real customers.

Advanced Capabilities, Outstanding Performance

Real-Time Detection

Capture fraudulent reservations, account takeover and loyalty program fraud in real time to ensure platform security.


Stop large-scale ticketing and booking fraud. Track and detect activities and events initiated by bots, device farms, and human farms.

Unparalleled Accuracy

Predict and prevent abuse and attacks with 99%+ accuracy. Detect, deter, and prevent fraud with consistency and confidence.

"With DataVisor and unsupervised machine learning, we were able to identify and stop mass-scale fraud attacks before they had any effect on our users."

Steve Knopf

|Vice President of Trust and Safety

The Datavisor Platform

Data Integration

Ingest structured and unstructured data from omnichannel sources

Feature Engineering

Create advanced fraud features to enhance models and rules


Defeat fast-evolving fraud patterns with adaptive machine learning


Take actions in real time to mitigate fraud and delight good customers


Review cases with a linkage view and uncover new fraud patterns