Scam and Spam Calls

Detect scam and spam calls with an accuracy of 99% on your network
Overview
Scam and spam calls have grown exponentially in the last decade. With technological advances, scamsters are also evolving and finding newer ways to lure customers. Subex ML-based scam detection solution enables you to detect and prevent scams from the number ranges. Our ensembled ML (machine learning) model analyzes data using various aggregated customer attributes available from different data sources and accurately predict the probability of the customer to be a scamster with 99% accuracy. This enables you to take further action to reduce the impact on your customers.
See how we can help your organization combat Scam and Spam Calls
Enhanced Scam and spam Detection
The ML-based module detects 99% of scam calls and SMS within the network
Future-proof network against next-gen frauds
Equipped with anomaly engine which is capable of identifying unknown unknowns which makes it future-ready to address next-gen frauds
Improved Accuracy
AI/ML model is built to decrease false positives significantly
Positive Brand Image
Keeps the impact of scams low on subscribes leads to improved customer experience and positive brand image
See how we can help your organization combat Scam and Spam Calls
Enhanced Scam and spam Detection
The ML-based module detects 99% of scam calls and SMS within the network
Future-proof network against next-gen frauds
Equipped with anomaly engine which is capable of identifying unknown unknowns which makes it future-ready to address next-gen frauds
Improved Accuracy
AI/ML model is built to decrease false positives significantly
Positive Brand Image
Keeps the impact of scams low on subscribes leads to improved customer experience and positive brand image

Check out Scam and Spam Calls solution features

AI/ML-based Scam detection
AI/ML-based propensity score predicts the likelihood of number scam
Batch Processing & streaming data support
Scam detection module works both on batch data as well as streaming data
Integrate easily with external API
The solution integrates easily with external APIs for call termination, blocking, etc.
Auto hyperparameter tuning and retraining modules
Get auto trigged when accuracy falls below an acceptable threshold and help detect scams on the network
Resource center
AI based Risk Intelligence
Flyer

One stop solution to combat all types of fraud

Combating Handset Fraud
Whitepaper

The whitepaper focuses on the sale of handsets/devices, fraud associated with handset sales, and the must-have capabilities in an anti-fraud solution.

Subex helps a Tier-1 Operator stay ahead of Wangiri Fraud with Proactive Detection
Case Study

Subex helps a Tier-1 Operator stay ahead of Wangiri Fraud with Proactive Detection

Related blogs
Get the perspective of our subject matter experts, read artifacts about our solutions and learn about our success stories.
Fraud Management
Fraud Management
The True Cost of Insurance Fraud
Frequently Asked Question

1. Advanced machine learning methodologies
Leverage machine learning and develop advanced supervised and unsupervised models with historic data and can help the operator to profile the calls and SMS for any deviations and detect anomalies in real-time with an accuracy of 98.5%. Machine learning allows the operator to make decisions based on information as it happens, empowers them to anticipate and take proactive action.

2. Signaling Intelligence
Operators FMS system should monitor signaling traffic from layer 3 to layer 7 in real-time to secure the network signaling exploitation on Voice, and SMS services. With signaling intelligence operator can detect and prevent scam calls like Wangiri, IRSF and CLI spoofing in real-time.

3. Real-time threat Intelligence
Operators should have access to real-time threat intelligence of hotlists to block the scam calls in real-time.

4. Voice and SMS Firewalls
Operators should install a carrier-grade threat-focused firewall capable of subverting threats. The firewall monitors the outgoing and incoming traffic from/to your network and blocks malicious/spam calls depending on the rules configured within the firewall.

5. Subscriber/Customer Awareness
As a proactive approach, the operators should frequently make the customers aware of the increased scam calls and how not to be the victim of these calls. This will help in improving the customer experience by reducing the monetary losses of customers.

Get started with Subex
Request Demo Contact Us