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Top Telecom Fraud Trends in 2025: Evolving Threats & Solutions

Subex Blog

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.

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SIMBox Fraud: Challenges and AI-Powered Solutions for Telecom Operators

Subex Blog

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.

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Unveiling the Power of AI in Telecom Fraud Detection

Iconxsolutions

Anomaly Detection Systems in Action AI based anomaly detection systems can capture the highly complex informational structure within the data, to be able to learn the numerous call patterns that typically occur. Any calls that appear to deviate from these patterns are flagged as atypical, and can be assessed by an analyst.