dCube from DataVisor

dCube is a comprehensive fraud management solution that combines transformational AI-powered technology with a streamlined workflow to enable proactive detection and prevention of known and unknown fraud.

Request Demo


Defeat Emerging Fraud with Speed and Agility

Leverage the power of unsupervised machine learning to uncover correlated patterns and reveal hidden connections between accounts before sophisticated fraud attacks can launch. Accurately identify new and unknown attack types in real time with no need for historical data or lengthy training and retuning cycles.

Download Product Sheet

The Complete Fraud Prevention Platform

Data Management

Accelerate model development and boost accuracy with seamless integration and advanced validation.

Data Management

ccelerate model development and boost accuracy with seamless integration and advanced validation.

Image of laptop

Solutions for Every Industry

Financial Services   Marketplaces   Social Platforms

The dCube Difference

Choose dCube as your fraud management platform and enjoy the benefits of complete control, transparency, and an integrated workflow.


Facilitate seamless collaboration to efficiently build, validate, and deploy high-performance models.


Combine internal expertise with advanced domain intelligence to achieve unrivaled accuracy.


Investigate complicated cases, review detailed detection reason codes, and see correlated activities.

Unrivaled Results, Big Data Scale

dCube features a hyper-modern architecture built to manage complex digital fraud signals at big data scale, and powers real-time detection and prevention across industries by providing an entire ecosystem of integrated tools, technologies, products, and services.

Rapid Detection for Fast-Evolving Fraud

Domain expertise informs every aspect of dCube. Defend your organization against even the most sophisticated attacks with the world’s most powerful fraud management solution.


proprietary fraud-specific features

Draw on a rich library of fraud features to deliver immediate results from deployed models.


improvement in review efficiency

Effectively handle fraud cases with advanced investigation capabilities.


historical labels required

Adapt to fast-evolving fraud patterns without the need for lengthy training periods.