"By 2021, 50% of enterprises will have added unsupervised machine learning to their fraud detection solution suites."
Begin Investing Now in Enhanced Machine Learning Capabilities for Fraud Detection.
Expose malicious use of personal information obtained through data breaches and social engineering. Uncover incubating synthetic accounts and expose pending bust-out frauds. Defuse coordinated attacks and reveal correlations between high volumes of fraudulent applications.
Synthetic Identity Fraud
Protect against application fraud across online and mobile channels. Stay ahead of rapidly changing attack patterns with advanced machine learning and holistic data analysis. Uncover connections between fraudulent applications and expose and block previously undetected fraud patterns to stop damage before it happens.
Credit Card Applications
Direct Deposit Account Opening
Create frictionless customer onboarding experiences for good applicants. Ensure applications get approved without delay and keep the process free of complicated verification processes. Delight good customers and confidently increase conversion rates for new account openings without incurring increased risks of attack.
Low False Positive Rates
Increase review efficiency by detecting and eliminating fraudulent applications simultaneously. Examine cross-account linkages and review detailed reason codes to make good decisions and confidently apply them to entire fraud rings. Reduce manual review costs and eliminate alert fatigue from large alert volumes and high false positives.
100x Increase in Review Efficiency
Bulk Decisions for Correlated Cases
Auto-Actions with High-Confidence Results
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.
Leverage the power of proprietary unsupervised machine learning technologies to proactively detect fast-changing attack patterns and capture entire fraud rings before any financial loss occurs.
Intelligent solutions. Informed decisions. Unrivaled results.
The DataVisor Q2 2019 Fraud Index Report is here.
Learn how leading financial institutions are using ML to proactively detect card application fraud.
Application fraud is too sophisticated for legacy systems, but unsupervised machine learning can detect it reliably.