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Scam, Spam, and Robocalling
Stop scams before they ever reach your customers.
Subex AI catches up to 95% of malicious traffic while keeping legitimate calls flowing without friction. Nuisance traffic drops, fraud loses its entry point, and every genuine call still gets through. Less spam, more trust, a network customers can answer with confidence.
Subex AI catches up to 95% of malicious traffic while keeping legitimate calls flowing without friction. Nuisance traffic drops, fraud loses its entry point, and every genuine call still gets through. Less spam, more trust, a network customers can answer with confidence.
Overview
Scam and spam calls undermine customer trust and can trigger regulatory scrutiny. Subex helps CSPs identify suspicious calling behavior and number ranges using ML models and risk scoring, so teams can stop abuse while keeping legitimate traffic flowing.
The Challenge
Scam, spam, and robocalling use automation, spoofing, and social engineering to target subscribers at scale, driving complaints, churn, and overblocking that harms legitimate customers. The CFCA Global Fraud Loss Survey 2025 estimates losses from spoofing and CLI manipulation at about $3.5 billion, while limited context continues to slow analyst response.
Fraudsters use automation, spoofing, and social engineering to target subscribers at scale.
High volumes of nuisance calls increase complaints and churn risk.
Overblocking creates false positives that damage customer experience.
Analysts spend too much time validating suspicious numbers without enough context.
Real Impact. Real Efficiency. Real Results.
Enhanced Detection Rates
The ML-based module identifies up to 95% of scam and spam call attempts in controlled deployments within a network, drastically reducing malicious traffic.
Improved Operational Accuracy
Our advanced AI/ML model is fine-tuned to minimize false positives, ensuring legitimate customer communications are never mistakenly blocked.
Future-Proof Your Network
Equipped with an anomaly detection engine capable of identifying “unknown unknowns,” our solution adapts to next-generation fraud tactics as they emerge.
Strengthen Brand Image & Trust
By proactively protecting subscribers, you significantly improve customer experience and solidify your reputation as a secure and reliable service provider.
Key capabilities
AI and ML-based Scam detection
AI/ML models generate a scam propensity score for each number based on behavioral patterns, traffic anomalies, and historical risk indicators.
Batch Processing & Streaming Data Support
Scam detection module works both on batch data as well as streaming data.
Real-time Call Termination & Blocking APIs
Integrates with external APIs for real-time call termination, number blocking, and automated enforcement actions.
Auto Hyperparameter Tuning and Retraining Modules
Get auto triggered when accuracy falls below an acceptable threshold and help detect scams on the network.
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Frequently Asked Questions
Everything you need to know about how our Scam, Spam, and Robocalling solutions work.
How quickly can the solution be implemented and start detecting scams?
Our solution is designed for rapid deployment. A standard implementation, including integration with your data streams and the core AI detection engine, can be operational within 8-12 weeks. Value delivery begins immediately as the models process network data, with the Advanced Rule Engine allowing for immediate detection of known scam patterns from day one.