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5 Common Misconceptions about UML

Download this infographic to learn how:

  • UML works and why the myths are false
  • UML delivers transparency and explainability for fraud decisions
  • You can simplify implementation of UMl to accelerate fraud detection
Learn the 5 Common Misconceptions

Fraudsters continually evolve their methods to evade detection, and banks suffer huge losses. Traditional supervised machine learning can only detect known threats — but Unsupervised Machine Learning (UML) can detect the unknown. This infographic debunks the common misconceptions about UML and explains how the technology dramatically improves fraud detection for financial institutions.

5 Common Misconceptions about UML

Ideal for fraud strategists


  • Get the facts about how unsupervised machine learning works to detect fraud
  • Look into the implementation process and its cost
  • Dive deeper into the technology that is reshaping fraud protection
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About DataVisor

DataVisor is recognized as an industry leader and has been adopted by many Fortune 500 companies across the globe.

DataVisor is the world’s leading fraud and risk management platform that enables organizations to respond to fast-evolving fraud attacks and mitigate risks as they happen in real time. Its comprehensive solution suite combines patented machine learning technology with native device intelligence and a powerful decision engine to provide protection for the entire customer lifecycle across industries and use cases.