Czech Mobile Provider
ML Fraud Detection Prevents 30% of Subscription Fraud for Czech Mobile Provider
30%
Fraud prevented
< 1 yr
ROI payback
The Challenge
Subscription Fraud Was Slipping Past the Static Rule-Based Detection System
Despite existing rule-based systems and background checks for new customers, the provider struggled with subscription fraud — customers obtaining services and hardware without paying. The static rule-based system could not adapt quickly enough to new fraud patterns.
Our Approach
ML Fraud Detection Layer Adapts Automatically to New Patterns as They Emerge
Blindspot applied their machine learning Fraud Detection System (ML FDS) as an additional security layer operating in synergy with the client's existing rule-based system. The ML approach identifies complex fraud patterns across multiple data dimensions and adapts to emerging schemes automatically as new data arrives.
Results
30% of Fraud Prevented and ROI Secured Within the First Year of Deployment
Roughly 30% of subscription fraud was prevented. ROI was secured within the first year of deployment. Intuitive dashboards enabled quick, data-driven decision-making for fraud case resolution.
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Next Steps
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