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Handset Fraud
Protect handset revenue at the exact moment a sale happens.
Subex scores every POS and e-commerce transaction instantly with ML-based risk models, blocking fraudulent device sales in real time, before losses are written off and before your team opens a single investigation. Fraud is stopped at the point of sale, not chased down weeks later. More devices sold clean, fewer losses to absorb.
Subex scores every POS and e-commerce transaction instantly with ML-based risk models, blocking fraudulent device sales in real time, before losses are written off and before your team opens a single investigation. Fraud is stopped at the point of sale, not chased down weeks later. More devices sold clean, fewer losses to absorb.
Overview
The increasing value of handsets and other devices (smart watches, routers, fixed line phones and other CPEs) has made them a prime target for fraudsters. The Subex handset fraud solution helps you detect and block handset and other device fraud activity across retail POS, tele sales, and other digital channels with real-time machine learning (ML) based risk scoring. Our solution provides extensive fraud coverage via a range of detection techniques to help you avoid major financial and reputational costs associated with the handset fraud.
See How We Can Help Your Organization Combat Handset Fraud
Increased Precision
ML models provide recommendations to the point of sale, enabling not just a risk score but also providing alternative recommendations for high/least risk numbers
Rapid ROI
With the value of handsets ever-increasing, Subex’s solution can help deliver rapid ROI on the controls
Enhanced Fraud Detection
Real-time decisions within seconds enabled through AI/ML-based risk scoring improves fraud detection
Improved Customer Experience
Identification of account takeovers, subscription fraud and other related fraud methods using real-time fraud rules
Unified Solution
The solution integrates feedback from siloed pointed systems (like physical ID verification, credit scoring, the email id/domain risk, IP based risks, device fingerprinting) and returns unified weighted response
Increased Accuracy
AI/ML model is built to decrease false positives significantly
Check Out Handset Fraud Solution Features
AI/ML-based risk Scoring
Evaluates every incoming order and assigns a risk score based on various features in the order in real-time to help decision making about the order
Threshold-based rules
Monitor fraud with simple threshold-based rules to complex rules and velocity checks. A smart pattern feature helps to monitor the sequence of activities by the fraudsters.
Business insights Dashboards
Provide various insights like orders identified as frauds, fraud loss averted, rule performances, etc. to business & fraud managers in near-real-time
Enhanced Link Analysis and Visualization
Allows to visualize data records in the system across all the streams
Integrate easily with external API
The solution integrates easily with external API for credit scoring, device fingerprinting, email Id/domain risks, etc.
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Frequently Asked Questions
Everything you need to know about how our Handset Fraud solutions work.
Is this only for handset/device fraud?
No. FraudZap™ is a lightweight, purpose-built fraud detection platform designed to support multiple fraud use cases over time. It is delivered to customers one use case at a time for focused, rapid impact. The currently generally available (GA) use case is Handset Fraud, covering device fraud across POS and e-commerce channels.