Reveal 5 Secrets Behind UML’s Ability to Detect Hidden Fraud Patterns
Discover how to leverage unsupervised machine learning to reveal and stop new, sophisticated frauds as they occur.
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As advancements in fraud prevention technology progress, so too do fraudsters’ ever more sophisticated strategies. Cutting-edge technologies like deepfakes help them perpetrate fraud and trick good customers in real-time.
Conventional rules engines and supervised machine learning often struggle to keep pace with these rapidly changing fraud patterns. But fraud teams have a powerful counterpunch in unsupervised machine learning (UML). In fact, it’s so powerful even regular users don’t know some of the best fraud prevention secrets UML holds.
Our handbook, “5 Unsupervised Machine Learning Secrets You Might Not Know,” unveils these hidden advantages in a clear and actionable manner. Download your copy now to explore how incorporating UML into your fraud prevention toolkit can bolster your organization’s defense against fraudulent activities.
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.