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APPLICATION FRAUDCreate Friction. For Fraudsters.
Early Detection. The Future of Financial Protection.
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.
Speed to Value
No More Alert Fatigue
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.