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Overview
Subscription fraud occurs when fraudsters obtain SIMs or accounts using stolen or synthetic identities, then monetize the account through high-cost usage, resale, or downstream fraud. Subex helps CSPs score risk at onboarding and continuously monitor early-life usage to prevent losses.
Real Impact. Real Efficiency. Real Results.
Early-Life Fraud Loss Reduction
Reduce early-life losses by identifying high-risk activations and behaviors sooner.
Consistent Risk-Based Approvals
Improve approval quality by applying consistent risk scoring across channels.
Bad Debt & Collections Cost Control
Lower bad debt and collection overhead by preventing avoidable exposure.
Targeted Controls Without CX Friction
Protect customer experience by keeping controls targeted and evidence-based.
The Challenge
Industry impact: Subscription fraud remains one of the biggest loss drivers – subscription (application) fraud is reported at $5.45B and subscription (credit mule) fraud at $5.06B. (Source: CFCA Global Fraud Loss Survey 2025).
Fraudsters exploit onboarding gaps using stolen IDs, synthetic profiles, or mule networks.
Losses often occur in the first days/weeks (early-life fraud) before risk signals are reviewed.
Manual verification and static rules cannot keep pace with high-volume digital onboarding.
Downstream impacts include bad debt, chargebacks, and reputational damage.
Key capabilities
Fraud scenarios detected and prevented across all services.
Real-Time Risk Scoring
Real-time and near real-time risk scoring using onboarding and early-usage signals.
Velocity & Pattern Checks
Velocity and pattern checks across identity attributes, device, location, and behavior.
External Risk Integrations
Integration hooks for external KYC, credit scoring, device fingerprinting, and email/domain risk tools.
Case Workflows & Actions
Case workflows for analysts to validate evidence and take policy actions.
Frequently Asked Questions
Everything you need to know about how our fraud management solutions work.
How does the solution detect fraud during digital onboarding?
The platform evaluates onboarding data in real time using AI-based risk scoring. It analyzes identity consistency, velocity signals, device attributes, geolocation, behavioral indicators, and external risk inputs to generate a risk score before approval or activation.
Can the solution integrate with our existing KYC and credit systems?
Is this only for postpaid, or can it support prepaid and digital SIM onboarding?
How is synthetic identity fraud detected?
Does the system support explainable AI?
Subscription fraud strikes in the first days. So should your detection.
Subex scores identity risk at the point of signup and monitors early-life usage — stopping stolen and synthetic identities before they become bad debt.