Detect suspicious money-laundering activities in real time. Uncover even the most sophisticated interactions between multiple accounts and players with unsupervised machine learning. Boost detection coverage and increase SAR conversion rates.
High Detection Coverage
Get complete records of AML analysis and decision processes to show regulators and auditors. Stay in compliance with fully transparent and explainable results.
Increase review efficiency by detecting and reporting high numbers of money-laundering activities simultaneously. Reduce overhead and intensive manual review with automated flow and low false positives.
Low False Positive Rates
Leverage the power of unsupervised machine learning to proactively defeat fraud with speed and agility with dCube, DataVisor’s comprehensive fraud management solution.
Get detailed fraud signals in real time, and take proactive steps to defeat both known and unknown fraud with dVector, DataVisor’s managed fraud services solution.
Enhance detection and fluidly adapt to new and evolving money-laundering tactics. Get rapid reporting to detect fraudulent activities in real time, and file SARs before damage occurs. Maintain compliance with full transparency and explainable results.
Intelligent solutions. Informed decisions. Unrivaled results.
Detect, deter, and defeat known and known money-laundering attacks.
Evolving money laundering patterns are leading to huge fines and mounting pressure on FIs to become more vigilant. Learn how unsupervised machine learning and its inherent merits can help FIs to uncover hidden money laundering patterns and improve AML detection.
The DataVisor Q2 2019 Fraud Index Report is here.
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