MOUNTAIN VIEW, Calif.--(BUSINESS WIRE)--DataVisor, the leading fraud detection company with solutions powered by transformational AI technology, announced today it has strengthened dCube with the additional levers for modeling and tuning, and enhanced data management functionality. dCube is DataVisor’s flagship fraud management solution, combining advanced machine learning capabilities with enterprise workflows to put full control in the hands of fraud and data science teams to proactively defeat fast evolving fraud with speed and agility.
New optimization capabilities offer unparalleled levels of control and flexibility to build bespoke models optimized for the unique fraud management needs of any organization. With added ETL capabilities, teams can go beyond primary data validation to fully integrate, manipulate, and enrich data before modeling, to ensure peak performance. In introducing these enhancements to dCube, DataVisor brings to the fraud landscape the most powerful and adaptive AI-powered fraud solution available today.
Advanced Optimization Capabilities for Model Tuning
Fraud modeling with enhanced optimization capabilities means transparency and total ownership of the models’ teams build. This includes the ability to integrate organizational domain expertise into the model building and feature engineering processes. Just as proactive detection and automated model development represents a quantum leap forward from legacy fraud solutions tethered to labels, rules, and manual review, these enhancements further push the envelope by introducing an intelligent optimization mode that offers access to a wide range of additional parameters to further precision and recall. Teams can now tune fine-grained model parameters including feature similarity threshold, cluster size, correlation features, and more.
Enhanced ETL Capabilities
Teams can now enjoy additional layers of control over the pre-modeling process to ensure the highest quality data, no matter the range of sources, formats, and data types. While dCube retains its core upload, mapping, and validation capabilities, these new enhancements enable new levels of interactivity, giving teams the ability to analyze, transform, and join together data in fine-grained ways within the platform. This includes being able to integrate and organize internal and external data sources at scale.
Production Deployment and Monitoring
dCube now features additional model deployment and production monitoring capabilities. During deployment a user can configure a start date for the model in production and mirror the settings in the model development phase. After deployment, to make sure the model is running as expected, production health can be monitored using the received data trends and detection results.
Once in production, organizations will now enjoy additional compliance benefits as well, with the assurance of end-to-end record keeping. “As tech savvy fraudsters become increasingly adept at blending in with normal users to evade detection, organizations need better ways to analyze data, and more nuanced approaches to find actionable insights,” said Dr. Yinglian Xie, chief executive officer at DataVisor. “With these enhancements, dCube delivers organizations the capability and control to make decisions based on real-time results to prevent known and unknown fraud before financial and reputational damage can occur.”
To learn more, DataVisor CEO and co-founder Dr. Yinglian Xie will be presenting at Money2020 Europe on June 5th at 2:10 PM on the Industry Transmutation Stage, find more information here.
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 network 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.