DataVisor powers insight into fraud and abuse patterns for enterprise and mobile customers

DataVisor introduced new functionality with its 2018 Fall release to improve customers’ ability to gain insight into the fraud and abuse impacting their business.

Fraud continues to have a bottom-line impact for both businesses and their customers. A TransUnion report in March found that synthetic fraud balances grew by 6.6% to $885.42 million in Q4 2017. This alarming trend demands better tracking and detection of fraud patterns that allow companies to take action before they cause damage to their bottom line and reputation.

“Fraud prevention continues to be reactionary, relying on knowledge from historic fraud patterns. Fraudsters are more nimble – they evolve their techniques faster than organizations can update their fraud tools. Organizations need to re-think their fraud strategy, recognizing and understanding emerging patterns so they can stay ahead of the fraudsters. This is exactly what our new capabilities enable,” said DataVisor CEO and co-founder Yinglian Xie.

The DataVisor Threat Insights Dashboard features charts and visualizations that give customers insight into fraud trends and connections across their user accounts. Driven by DataVisor’s Unsupervised Machine Learning Engine that detects attacks, this new dashboard enables customers to gain a real-time understanding of emerging fraud patterns.

The dashboard highlights the attacks and trends with key stats such as number of malicious accounts and events. Fully configurable, it enables users to select from a library of charts and drill down on fraud patterns by attack category, geography, activity type and more.

In addition, customers can now view the history for malicious accounts including the fraud group or rule that triggered the detection, making results transparent for internal and external compliance. Daily tracking of new malicious accounts enables users to monitor how attacks grow and evolve over time.

Other new DataVisor features include Enhanced Fraud Reporting, which enables users to configure scheduled or on-demand reports with options such as attribute selection, filters and alerts for flexibility when using DataVisor fraud reports.

DataVisor also augmented its fraud detection algorithm for clients with mobile user acquisition needs. The DataVisor Click Fraud Detection Engine incorporates ad click data for identification of click-initiated fraud including click spamming, click injection and more.

Media Source and Publisher Analytics allow customers to slice and dice their KPIs such as install volume, fraud rate and retention rate using key dimensions, in order to enable purchasing and targeting decisions.

“We have to take the fight to the fraudsters. Today’s fraud experts have to adapt to new types of fraud and fraud attacks that have never been seen before,” said DataVisor’s Xie. “With the DataVisor Threat Insights Dashboard along with our other enhancements, customers can gain actionable insights to play offense instead of defense.”

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