Real-time detection and prevention
Detects and prevents fraud across telecom services in real time, including subscription and device fraud, with a focus on voice and SMS protection.
Subex Fraud Management is an AI-first telecom fraud detection and prevention system for operators and CSPs, with real-time detection, rules, automation, and investigation.
Subex Fraud Management is an AI-first telecom fraud management system for detecting and preventing fraud across telecom service offerings. The product is positioned as an end-to-end defense layer for operators that need to protect voice, SMS, mobile payments, wallets, and related services.
The source describes a workflow built around real-time detection, rule-based analysis, automation, and visual investigation tools. It is intended to help telecom operators and CSPs manage known and emerging fraud threats while keeping fraud teams aligned with changing services and data volumes.
Detects and prevents fraud across telecom services in real time, including subscription and device fraud, with a focus on voice and SMS protection.
Includes out-of-the-box threshold-based, statistical, negative, expression-based, and text-match rules, while also allowing custom rules for evolving threats.
Automates downstream actions so teams can carry out risk and fraud decisions across connected systems more consistently.
Provides visual analysis tools, including link analysis, to help analysts inspect relationships and understand fraud patterns more quickly.
Uses the Subex Risk Intelligence Database for suspect numbers, high-cost destinations, unallocated ranges, and country-code rules to improve detection accuracy.
Applies GenAI investigative agents and explainable AI to streamline case investigation and make model decisions easier to interpret.
Monitor telecom traffic and customer activity for subscription, device, and voice/SMS fraud, with real-time detection and prevention when suspicious patterns appear.
Use the fraud intelligence database, rule engine, and link analysis to investigate cases, identify patterns, and support analyst decisions.
Apply automation to move risk and fraud decisions into downstream systems so operational teams can respond more consistently across the workflow.
Support operators that are adding new offerings or handling more complex data landscapes by using an end-to-end system that can adapt to changing fraud conditions.
Use explainable AI and GenAI investigative agents to reduce manual effort in case resolution while preserving analyst oversight.
Subex’s fraud management is presented as an end-to-end telecom fraud detection and prevention system for service providers. The source copy frames it around protecting voice, SMS, mobile payments, wallets, and other telecom services.
The product description says it uses AI, advanced ML, signaling intelligence, a hybrid rule engine, link analysis, and a fraud intelligence database to detect and prevent fraud in real time.
The source emphasizes protection across subscription, device, identity, roaming, payments, partner, and API-related fraud scenarios, with coverage across the fraud management workflow.
The homepage positioning and solution page both point to telecom operators and CSPs as the primary users, especially teams handling fraud, risk, and revenue protection.
The page does not publish pricing. The separate pricing URL repeats the same product positioning, but no plan details, prices, or limits are shown in the supplied content.