Subex Blog
MARCH 7, 2025
Advanced machine learning (ML) techniques are being deployed by operators to detect unusual call patterns indicative of bypass fraud, but the challenge remains formidable due to the adaptability of fraudsters. Bypass fraud results in substantial financial losses by evading international tariffs and rerouting calls.
Subex Blog
MAY 21, 2025
AI-based geographic filtering can track and block calls with unusual geographic origins, adding an additional layer of defense. Investigation Analysis by AI Agents AI Agents assist fraud analysts by autonomously investigating suspicious call patterns, correlating data from multiple sources, and generating actionable insights.
Iconxsolutions
JANUARY 5, 2024
The Role of Wholesale Fraud Management Systems The typical response to these attacks is the deployment of a fraud detection system, usually based on analysis of data from signal record monitoring or call detail records (CDR). Traditionally these systems rely on a rules-based method for the identification of telecom fraud.
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