DataVisor is the leading fraud detection platform powered by transformational AI technology.
Using proprietary unsupervised machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and action fast-evolving fraud patterns and prevent future attacks before they happen. Combining advanced analytics and an intelligence agency of more than 4B global user accounts, DataVisor protects against financial and reputational damage across a variety of industries, including financial services, marketplaces, ecommerce, and social platforms.
DataVisor’s patent-pending Big Data security analytics engine for fraud detection will analyze your event logs and return fraud results to you via API in real-time or as a batch process periodically. They also provide every customer with their own DataVisor Threat Intelligence Console which includes a threat dashboard to visualize the health of your online service, detailed fraud detection reports and customized query interface to aid in forensic investigations on malicious users and campaigns.
Leverage DataVisor’s cutting-edge approach to detect new and unknown attacks before damage is done.
DataVisor technology is also applied to anti-money laundering. Unlike entrenched AML transaction monitoring solutions, their solution was built from the ground up to use the power of unsupervised machine learning to drive superior AML optimization.
Patented and proprietary unsupervised machine learning approach works without ‘labelled’ input data to automatically detect new and previously unidentified fraud and abuse patterns, making it perfect for keeping up with unknown and sophisticated fraud attacks.
The company’s full-stack risk platform is an end-to-end solution for detecting and preventing cybercriminal attacks. The technology protects the world’s largest financial institutions and Internet properties, including Alibaba, Letgo, Pinterest, Tokopedia, Wells Fargo, Yelp and more.
DataVisor provides three advantages over more conventional machine learning solutions: Contextual detection, transparent results and streamlined investigation of accounts and users.
1) Contextual Detection. DataVisor Enterprise automatically identifies and categorizes different types of fraud and abuse. This is combined with granular risk-based detection scores to trigger correct action or authentication against each account.
2) Transparent Results. Unlike “black box” machine learning models, DataVisor Enterprise enables users to view detailed detection reasons generated by its proprietary engine, for detailed understanding of how fraud or abuse was committed.
3) Streamlined Investigation. DataVisor Enterprise enables detailed activity and detection history review for each account or user. Clusters of linked accounts can be discovered, for time-saving bulk decisions. Latest fraud trends can be analyzed with customized reports/dashboards.