Early Detection. The Future of Financial Protection.

Application fraud is on the rise and fast-becoming a significant threat to financial institutions. To make matters worse, fraudsters’ attack patterns and techniques are ever-evolving, highly sophisticated, and incredibly coordinated.
Using stolen, manufactured, or synthetic identities — or even recruiting others to open accounts — cyber criminals evade detection by blacklists and rule-based systems. This often results in billions of dollars in losses for financial institutions.
DataVisor takes a holistic approach when looking at account or card applications, and our early detection solution prevents fake accounts from ever being created. Stop application fraud before it starts. Only with DataVisor. 

It All Starts with the Application

New Credit Card Applications

To open fraudulent accounts, attackers use personal information stolen from data breaches, or they nurture synthetic identities until favorable FICO scores are created. Both methods often pass under the radar of financial institutions. DataVisor Enterprise analyzes both structured and unstructured data and detects unknown frauds, even when they appear legitimate in isolation.

Direct Deposit Accounts

Fraudsters open accounts with the intent to commit check fraud, deposit fraud, or to apply for future loans. They have found highly-creative techniques to cover their tracks from IP blacklists and rules-based systems. DataVisor’s machine learning model continuously monitors accounts to identify and eliminate suspicious sleeper cells, without impacting good customers.


DataVisor. Elegant Solutions to Complex Problems.

DataVisor Enterprise is unique in that it analyzes whole networks of applications to detect hidden connections that may appear legitimate when viewed in isolation. This results in a seamless user experience and the ability to detect fraud in real time, without the need for labels, historic data, or extensive training.

Speed to Value

As early as day 1, DataVisor detects application fraud without the need for labels, historic data, or extensive training. Our sophisticated solution provides real time risk scores with unparalleled accuracy, industry-leading coverage, and impressively low false-positive rates. 

No More Alert Fatigue

DataVisor discovers clusters of linked accounts which enables analysts to make bulk decisions in detecting and eliminating hundreds or thousands of fraudulent attacks simultaneously. Our technology streamlines alerts automatically based on individual thresholds, greatly reducing alert volume.

Self Learning, Self Tuning

Our interactive user interface allows analysts to evaluate results and provide inputs to effectively auto-tune the models. This dramatically cuts the cost associated with manually updating rules or re-tuning. 

Ready to enhance your detection with unsupervised machine learning?