AI-Driven A2P SMS Fraud Detection

Training a GenAI-Powered Adaptive Firewall to Eliminate Grey Routes & Secure A2P Messaging
Industry: Telecom
Platform: SMS/Voice
Services: GenAI-Powered, Crowdsourced A2P SMS Testing for Grey Route Detection

Problem Statement: Securing A2P SMS Against Fraud & Compliance Risks
A leading global telecom provider handling high-volume A2P SMS traffic faced a critical fraud challenge—unauthorized OTP messages were being rerouted through grey routes, bypassing official telecom pathways. These fraudulent diversions, enabled by third-party intermediaries, led to:

Data Breaches & Phishing Attacks – Exploiting unverified routes for smishing and fraud.
Delayed or Failed OTP Deliveries – Compromising authentication and user experience.
Revenue Leakage & Financial Fraud – Unauthorized rerouting reducing operator revenue.

The telecom industry lost $28.3 billion to fraud last year, with $2.71 billion attributed to interconnect bypass fraud. Without intervention, global losses could reach $37.1 billion.
To combat national A2P bypass, SMS flooding, faking, and SIM boxing, the telecom company needed a GenAI-powered, real-user-tested A2P SMS to train the Firewall that could intelligently detect, learn from, and block unauthorized A2P SMS transmissions in real-time.

Training the AI Firewall: Real-User, Real-Device, Real-Data Approach
Oprimes deployed a GenAI-driven, real-user testing framework using real SIMs, live locations, and diverse global devices to train the AI firewall, enabling it to:

•  Identify & Learn from Real-World Grey Route Patterns – Capturing live data from actual SMS transmissions.
• Continuously Evolve Using Real-Time Fraud Intelligence – Analyzing sender manipulation, smishing, and suspicious titles.
•  Detect & Neutralize Emerging Threats in Real-Time – Blocking unauthorized A2P bypass fraud at scale.

Key Implementation Strategies:

AI-Powered Real Data Collection – Designed a structured, scalable platform to systematically capture A2P SMS delivery anomalies, analyzing fraud patterns in real-time.
Human-in-the-Loop AI Training – Engaged 100+ real testers to simulate authentic A2P SMS interactions, feeding high-accuracy real-user labeled data into the AI model.
Automated AI-Driven Testing Engine – Conducted 15,000+ OTP message tests daily, across different MNO’s in India allowing the AI model to detect unauthorized routing.
Real-Time AI Model Refinement – Captured suspicious routing, accessibility failures, and sender manipulation to improve fraud detection accuracy.

Impact: A Smarter, Self-Learning AI Firewall for Fraud Prevention

• AI-Led Data Collection & Training – 1.8 million A2P SMS samples analyzed to train and refine the adaptive fraud detection model.
• High-Volume Smart Testing – 150,000+ messages per operator per month, ensuring continuous AI learning on real-world message flow behaviors.
• Fraud Pattern Recognition – Identified 410,000+ grey-route cases, helping the firewall preemptively block unauthorized pathways.
• Self-Learning AI Firewall – Transformed raw real-user testing data into intelligent, automated fraud detection, securing telecom networks against evolving threats.

Data-Driven Summary:

• Over 12 months, Oprimes leveraged GenAI-powered, real-device testing to conduct large-scale A2P SMS validation, capturing 1.8M+ message samples to train an adaptive fraud prevention system. 
• The AI model learned from 410,000 unauthorized grey-route cases, refining its ability to instantly detect and neutralize fraudulent transmissions.

By utilizing real-user data, real SIMs, live locations, and real devices, Oprimes enabled telecom providers to deploy a self-evolving firewall that intelligently identifies, blocks, and prevents unauthorized A2P SMS routing—ensuring security, compliance, and revenue protection at scale.