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DataVisor

  • Machine Learning
  • 3 Case Studies
Unsupervised Machine Learning for Fraud Detection

Sep 16

How to Deliver Continuous Protection Across the Entire Customer Lifecycle

Fraud has always been insidious, but modern fraudsters have more sophisticated techniques than their predecessors. Today’s on-demand, instant-access world is a veritable playground for bad actors that use advanced tools in their arsenals to infiltrate customer accounts and impersonate good customers.  As customers embrace an omnichannel experience with businesses, the opportunities for fraud to occur […] The post How to Deliver Continuous Protection Across the Entire Customer Lifecycle appeared first on DataVisor.

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Sep 09

How One Airline Prevented Fraud from Taking Flight: An Interview with DataVisor’s Randall Maddern

It’s no secret that flights can be expensive. So when airlines offer great deals, it’s a tough opportunity to pass up. This isn’t just a head-turner for travelers, however; fraudsters are also taking advantage of low airfare deals and turning them into their own revenue streams.  This was the case for a discount airline based […] The post How One Airline Prevented Fraud from Taking Flight: An Interview with DataVisor’s Randall Maddern appeared first on DataVisor.

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Sep 02

A Guide to Model Governance for Financial Institutions: Q&A with Kaila Cappello

Financial institutions (FIs) use models to address a variety of business needs. Models serve to bring vague or intangible ideas to life by illustrating concepts and data, which are then used to inform and streamline management decisions.  For all their benefits, introducing models into the management structure also introduces a new source of risk. When […] The post A Guide to Model Governance for Financial Institutions: Q&A with Kaila Cappello appeared first on DataVisor.

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Aug 26

Digital Channel Fraud Protection: A Growing Area of Concern

As digital channels evolve, businesses have increasingly more ways to connect with their customers, and their customers are taking full advantage. In fact, over 35% of consumers expect to be able to connect with companies on any channel they choose. The majority of customers switch between their various devices throughout the day and expect brands […] The post Digital Channel Fraud Protection: A Growing Area of Concern appeared first on DataVisor.

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Case Studies
Case Study : Social App Uses Ai To Prevent Promotion Abuse

Read this case study to learn how DataVisor detected millions of fraudulent accounts with 99%+ accuracy.

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Case Study : Finance | Machine Learning To Stop Application Fraud

Read this case study to learn how DataVisor detected an additional 30% of fraudulent accounts on top of the bank’s existing in-house detection solution.

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Case Study : P2p Marketplace Fraud Case Study

DataVisor helped protect a large, mobile P2P Marketplace from fraud and abuse using Unsupervised Machine Learning.

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