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DataVisor

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

Mar 26

How to Boost Review Efficiency and Make Confident Decisions with a New Approach to Case Management

Enhanced case management capabilities can provide fraud analysts and investigators with the tools and technologies they need to get ahead of modern fraud attacks. The post How to Boost Review Efficiency and Make Confident Decisions with a New Approach to Case Management appeared first on DataVisor.

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Mar 24

Preparing for the Damaging Spread of Viral Attacks in the Digital World, and the Human One as Well

To manage risk and maintain health and security, we cannot just rely on our knowledge of the known. We must redefine how we approach the problem of unknown threats. The post Preparing for the Damaging Spread of Viral Attacks in the Digital World, and the Human One as Well appeared first on DataVisor.

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Mar 11

Responding to COVID-19

Predict novel, evolving attacks with Unsupervised Machine Learning

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Mar 11

Responding to COVID-19

Predict novel, evolving attacks with Unsupervised Machine Learning

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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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