ROC Fraud Management

One stop solution to address all types of frauds across Voice, Data and Digital Services
Overview
ROC™ Fraud Management provides 360° fraud protection across digital services by leveraging advanced machine learning and signaling intelligence. The solution combines a traditional rules engine with advanced artificial intelligence/machine learning capabilities to provide increased coverage across all your services and minimize fraud run-time in the network with real-time blocking capabilities.
Hybrid Rule Engine
At the heart of the ROC Fraud Management solution is a hybrid rule engine that covers detection techniques like thresholds, expressions, and trends. Rule engine comprises of a combination of threshold rules, geographic rules, pattern (sequential) rules, combinatorial rules, ratio/proportion-based rules, negative rules, hotlist based rules, etc. which enable you to monitor advanced threats in the network. Rule Test Facility (RTF) in the solution provides a controlled environment for fraud managers to configure and validate rules, before configuring them on the live network. Intelligent alarm qualification designed based on hidden Markov models in the solution ensures an analyst catches at least 80% of frauds by only having to go through no more than 20% of the alarms on the alarm stack.
Artificial Intelligence-based fraud detection
The ROC Fraud Management system is integrated with machine learning algorithms to mine historical data from fraudulent behaviors to create supervised and unsupervised models. These models enable telcos to find hidden patterns in data for fraudulent activities, which reduces the time-to-detect fraud significantly. Subex has multiple sets of proprietary ensemble models with the capability of state-of-the-art patented automated hyperparameter tuning, and autonomous model selection based on the properties of data, such as the geography, the nature of fraud committed and more. These models have auto-retrain embedded, which get triggered when the accuracy falls below an acceptable threshold. We leverage modern machine learning and deep learning algorithms like LSTM (Long short-term memory), Generative Adversarial Networks (GANs), Capsule Network (CapsNets), elastic net, etc. to detect and prevent fraud in the telecom network.
Signaling Intelligence

A proactive approach to prevent fraud in the digital ecosystem

The signaling intelligence module in ROC fraud management is designed to address the traditional and new-age risks across various digital services. It monitors multiple parts of a telco network starting at the layer 2 and going up to layer 7 to detect fraud attacks. By starting at the lower level of the network stack, you can now detect breaches much earlier. The solution employs a proactive approach using a combination of signatures, heuristics, and machine learning techniques to prevent fraud proactively.
Signatures
Subex gathers threat intelligence from global honeypot infrastructure deployed in 64 different locations around the world.
Machine Learning
Custom built algorithms allow you to detect unknown & zero day fraud attacks and monitor deviations against known normal behavior in real-time to reduce the fraud runtime.
Heuristics
The threat intelligence fed into ROC Fraud Management and configured to detect known attacks and reduce fraud runtime significantly.
Leveraging Blockchain for fraud detection
Blockchain, as a technology, brings in strong capabilities which can used to tackle telecom fraud. One of the important use cases where this can be implemented with this cryptographically secure database is real-time threat intelligence database. Subex has partnered with the RAG Wangiri Blockchain Consortium which uses Blockchain technology to gather real-time industry threat intelligence about fraudsters. Through this partnership, ROC Fraud Management aims to provide you with a decentralized and cryptographically secure blockchain ledger of Wangiri fraud-related information. Any new data that is uploaded on the RAG Wangiri database is automatically uploaded on the Subex ROC Fraud Management system. New traffic on the network is monitored against this data and fraud analysts can take appropriate actions.
See how ROC Fraud Management can help your organization
Managed Services for operational & business excellence
Subex managed services with deep domain expertise ensure that business operations smoothly
360° Coverage
One stop solution to address all types of frauds across voice, data and digital services
Future-proof network against next-gen frauds
Our solution is equipped with anomaly engine which is capable of identifying unknown unknowns which makes it future ready
Positive Brand Image
Safeguarding customers from telecom fraud reduces customer churn, improves customer experience and helps build a positive brand image
Minimal fraud run-time
Early detection of unknown patterns with AI-powered anomaly engine ensuring that there is minimal fraud run-time
Flexibility & Scalability
Easy and flexible controls to investigate complex, next-gen frauds in 4G/5G environments. Native big data support for scalability and real-time processing
See how ROC Fraud Management can help your organization
360° Coverage
One stop solution to address all types of frauds across voice, data and digital services
Future-proof network against next-gen frauds
Our solution is equipped with anomaly engine which is capable of identifying unknown unknowns which makes it future ready
Managed Services for operational & business excellence
Subex managed services with deep domain expertise ensure that business operations smoothly
Minimal fraud run-time
Early detection of unknown patterns with AI-powered anomaly engine ensuring that there is minimal fraud run-time
Flexibility & Scalability
Easy and flexible controls to investigate complex, next-gen frauds in 4G/5G environments. Native big data support for scalability and real-time processing
Positive Brand Image
Safeguarding customers from telecom fraud reduces customer churn, improves customer experience and helps build a positive brand image

Check out ROC Fraud Management features

Active Threat Intelligence
Signatures and heuristics from Subex’s honeypot network deployed in 62 different locations around the world.
Advanced Machine Learning
Supervised and unsupervised models for continuous feedback and automatic actioning
Signaling Intelligence
Secures the network against signaling attacks
Hybrid Rule Engine
Advanced rule engine covering detection techniques such as threshold, expressions and trends.
Resource center
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