dCube by DataVisor is an advanced fraud management solution powered by unsupervised machine learning (UML) technology. dCube is designed to detect both known and unknown first-party, third-party, and synthetic fraud at scale. It detects fraud attacks without historical labels, large datasets, or lengthy training time. dCube enables financial institutions to quickly adapt to emerging fraud without waiting 6 to 12 months for updates to rules or supervised machine learning models. It captures traces of fraudster actions by analyzing accounts and events, along with trends and pattern analysis, despite device obfuscation and cloud infrastructure used to hide footprints. dCube delivers 20% detection lift and catches fraud at the application stage, usually two days to a week earlier than other solutions.
