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DataVisor

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

Jul 31

DEFEND Recap

As a leader in Enterprise Fraud and Risk Management, DataVisor brought together thought leaders together for an interactive discussion on how AI-powered technology can enable scalable protection, DataVisor: DEFEND, the first in a series of virtual gatherings where we discussed the future of digital fraud and risk with expert practitioners and technology leaders who shared […] The post DEFEND Recap appeared first on DataVisor.

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Jan 20

Top Factors Financial Institutions Consider When Selecting Fraud Detection Solutions

For all the benefits created by a digital transformation in financial institutions (FIs), it’s also created more complexities in fighting fraud.  FIs have responded to consumers’ demands for easier banking and transactions to the point where the majority of activities can be conducted remotely. This same convenience and ease of doing business are being exploited […] The post Top Factors Financial Institutions Consider When Selecting Fraud Detection Solutions appeared first on DataVisor.

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Jan 20

Top Factors Financial Institutions Consider When Selecting Fraud Detection Solutions

For all the benefits created by a digital transformation in financial institutions (FIs), it’s also created more complexities in fighting fraud.  FIs have responded to consumers’ demands for easier banking and transactions to the point where the majority of activities can be conducted remotely. This same convenience and ease of doing business are being exploited […] The post Top Factors Financial Institutions Consider When Selecting Fraud Detection Solutions appeared first on DataVisor.

Read full article >

Jan 20

Top Factors Financial Institutions Consider When Selecting Fraud Detection Solutions

For all the benefits created by a digital transformation in financial institutions (FIs), it’s also created more complexities in fighting fraud.  FIs have responded to consumers’ demands for easier banking and transactions to the point where the majority of activities can be conducted remotely. This same convenience and ease of doing business are being exploited […] The post Top Factors Financial Institutions Consider When Selecting Fraud Detection Solutions appeared first on DataVisor.

Read full article >

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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