Proactively defeat new and evolving attacks with the most advanced machine learning
Act swiftly and efficiently with a cloud-native solution capable of powerful analytics and visualizations, enabling instant decisions and action.
Grow your business safely, and scale efficiently with a flexible, open platform that helps you future-proof against any fraud use case.
DataVisor Fraud and Risk Platform can process massive amounts of data in real time — 10,000+ QPS with only 10-50 ms latency. To minimize computation costs, DataVisor builds features on top of features, so that each feature is computed only once. The platform supports both real-time and batch processing, as well as cloud and on-prem deployment.
The DataVisor approach with Unsupervised Learning enables early detection and adaptive responses to fast-changing attack patterns without the need for historic loss labels or training data and without lengthy training periods. The output from the unsupervised models can serve as training data to automatically train a supervised learning model and detect additional fraud.
DataVisor delivers a comprehensive solution that protects organizations from all types of fraud at every level of the customer journey. Unlike point solutions that only address a particular use case or provide protection for a single point of entry, DataVisor assesses events holistically and across the entire customer account lifecycle .
A leading U.S. credit card issuer leveraged DataVisor’s machine learning solutions to address application fraud, increasing detection by 25% and saving over $15M annually.
A Fortune 500 insurance company used DataVisor’s advanced detection capabilities to stop fraud and collusion in real time, preventing losses and improving efficiency.
A global delivery company relied on DataVisor’s holistic analysis approach to increase detection by 60%, leading to savings of more than $4M.
A top online marketplace blocked mass registrations and eliminated fake listings by detecting fraud early and taking auto-actions to defeat attacks at scale.
A worldwide financial services provider used DataVisor’s advanced machine learning capabilities to detect fraud early, drastically reduce false positives, and save over $12M annually.