Application Fraud

Proactively detect coordinated attacks across applications. Prevent existing malicious accounts from causing damage, and stop new fake accounts from being created.

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Early Detection for the Future of Financial Protection

Fast-rising application fraud is a significant threat to financial institutions. Attack patterns and techniques are ever-evolving, highly sophisticated, and incredibly coordinated. Using stolen, manufactured, or synthetic identities, cyber criminals are evading blacklists and rule-based systems, causing billions of dollars in losses for financial institutions. DataVisor's solutions enable holistic analysis of account and card applications, and early detection capabilities prevent fake accounts from being created in the first place.

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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 established. Too often these techniques pass under the radar of existing systems. DataVisor's solutions analyze structured and unstructured data to detect known and unknown fraud, and flag suspicious incidents and activities that appear legitimate in isolation, but are in fact part of coordinated attacks.

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Direct Deposit Accounts

Fraudsters open new accounts with the intent to commit check fraud, deposit fraud, or to apply for future loans. They use sophisticated techniques to cover their tracks, including IP blacklists and rules-based systems. DataVisor’s machine learning models continuously monitor accounts to identify and eliminate suspicious sleeper cells, without impacting good customers.

Efficient and Effective Solutions

Analyze whole networks of applications to detect hidden connections that may appear legitimate when viewed in isolation. Enjoy a seamless user experience, and benefit from the ability to detect fraud in real time, without the need for labels, historic data, or extensive training.

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Speed to Value

Detect application fraud without the need for labels, historic data, or extensive training. Get real-time risk scores with unparalleled accuracy, industry-leading coverage, and impressively low false-positive rates.

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No More Alert Fatigue

Discover clusters of linked accounts and make bulk decisions by detecting and eliminating hundreds, or even thousands, of fraudulent attacks simultaneously. Streamline alerts automatically based on individual thresholds to greatly reduce alert volume.

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Self-Learning, Self-Tuning

Evaluate results and provide inputs to effectively auto-tune fraud models. Dramatically cut costs associated with manually updating rules or retuning.

Client Success Stories

Fighting Fraud with Machine Learning: Stories from the Frontline

5 stories. 5 victories against fraud. See how organizations across industries are proactively defeating attacks.

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Application Fraud Case Study with Leading U.S. Card Issuer

DataVisor partnered with a top U.S. credit card issuer to deliver a scalable solution to fight application fraud.

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Application Fraud

Discover how one bank was able to detect 30% more fraud using DataVisor’s fraud solutions.

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Intelligent solutions. Informed decisions. Unrivaled results.

DataVisor Fraud Index Report: Q1 2019

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Access proprietary data and research results to discover the latest attack techniques and prevention strategies.

Download the Q1 2019 Fraud Index Report from DataVisor to receive unparalleled data-driven insights into the latest attack trends, and the most effective prevention strategies, based on analysis of over 44 billion events, 800 million users, 396 million IP addresses, and more.

ThePaypers Open Banking Report 2018

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Open Banking in Europe presents both opportunity—explore the issues and opportunities in this report.

ThePaypers analyzes the nascent landscape of Open Banking in Europe, covering the technological, legal, and operational challenges that banks, merchants, and vendors must address.

Dumb & Dumber vs Ocean’s 11

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Understand the range of modern fraud attacks to ensure complete coverage for your organization.

Complex and coordinated fraud attacks that are extensively planned, hard to detect, and highly scalable are the new normal for online platforms. Explore and understand the full spectrum of fraud attacks—from simple to sophisticated—and learn how you can defend against each type in this…

Stop application fraud before it starts.

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