AI-Powered Monitoring:
Detecting Fraud in Real Time

The most effective defense against fraud is the ability to see it and stop it as it happens. The NGN ICS network is a highly intelligent, self-monitoring ecosystem. The same proprietary, telecom-focused LLMs and AI engines that optimize for call quality are also relentlessly trained to detect the subtle signatures of fraudulent activity in real time, providing an active shield for our network and our partners.

Abnormal Traffic Patterns

Our systems continuously analyze traffic flows on a global scale. We instantly flag unusual spikes in traffic to high-cost or uncommon destinations, a key indicator of International Revenue Share Fraud (IRSF)10. Close monitoring of traffic patterns is a cornerstone of our ability to identify and mitigate IRSF campaigns before they can cause significant financial damage11.

Call Behavior Analysis

We analyze key call metrics to detect behavior that deviates from legitimate, human-initiated traffic.
Our platform identifies fraud by monitoring for:

Disproportionate ASR & ACD

An abnormally high Answer-Seizure Ratio (ASR) combined with an unusual Average Call Duration (ACD) is a strong signal of automated IRSF or FAS fraud

Short, Repeated Call Attempts

A high volume of calls with very short durations (5-20 seconds) can indicate False Answer Supervision (FAS).

Zero-Duration Call

Massive streams of call attempts with extremely low ASR and near-zero ACD are a classic signature of a Wangiri (missed call) attack.

Fraudulent Dialing Signatures

Our AI models are trained to recognize the fingerprints of machine-generated fraud. This includes identifying automated, sequential dialing patterns and simultaneous call traffic profiles that are impossible for human users to create. By detecting these non-human signatures, we can block large-scale automated attacks at their inception.

Call Path & Routing Integrity

We actively monitor for call hijacking and short-stopping. By closely collaborating with destination network owners and comparing our own call data records (CDRs) against theirs, we can verify that traffic is reaching its intended destination and has not been illegally rerouted or intercepted by a fraudulent intermediary.

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