Proactive Intelligence. Real-Time Defense. Zero Tolerance.

AI Fraud Analytics — NGN ICS

The NGN ICS AI Fraud Analytics System is a continuously learning defense framework that protects global communication traffic from fraud, artificial routing, and revenue leakage.

It monitors every signaling event, analyzes behavioral anomalies, and acts autonomously — ensuring network integrity and financial protection across all layers of NGN ICS infrastructure.

This is not traditional rule-based monitoring.

It is AI-driven threat prevention, built on predictive logic and continuous self-learning.

Purpose

Telecom fraud evolves faster than manual systems can respond.

The NGN ICS AI Fraud Analytics System closes this gap by combining pattern recognition, behavioral modeling, and anomaly detection into a unified real-time prevention engine.

Its goal is simple — detect, isolate, and eliminate fraudulent activity before it impacts performance or revenue.

How It Works

1.

Continuous Behavioral Analysis

The system continuously examines live signaling, routing, and CDR data across all ingress and egress points.

It builds behavior profiles for carriers, destinations, and traffic types, allowing the AI to distinguish legitimate patterns from malicious or abnormal behavior.

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2.

Anomaly Detection Engine

When a deviation occurs — such as a sudden change in ASR, call duration, or signaling frequency — the AI flags the route for deep inspection.

It evaluates event sequences, destination groupings, and originating patterns to determine whether activity suggests fraud, artificial traffic, or False Answer Supervision (FAS).

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3.

Automated Containment and Response

Upon confirmation, the system autonomously isolates affected trunks or routes, throttles suspicious traffic, and generates an immediate incident report.

This prevents further exposure while maintaining uninterrupted service for legitimate traffic.

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Fraud Types Detected

  • False Answer Supervision (FAS) — detection of early answer tones or fake connection signals
  • Artificial Traffic Generation — identification of synthetic call loops or automated patterns
  • SIM Box / Bypass Fraud — detection of mobile-originated traffic inconsistencies
  • CLI Manipulation — detection of spoofed or invalid caller identities
  • High-Velocity Dialing / Short-Duration Bursts — protection against automated attacks or testing abuse
  • Revenue-Share Destination Abuse — blocking of unauthorized premium route traffic

Core Capabilities

Predictive Fraud Modeling

Using long-term trend analysis, the AI predicts potential attack vectors and preemptively strengthens affected routing paths before exploitation occurs.

Real-Time Correlation

All detection modules share intelligence across quality monitoring, routing, and NOC systems, ensuring a unified and synchronized response to fraud incidents.

Self-Learning Intelligence

Every confirmed fraud event becomes part of the system’s training data — improving pattern recognition and shortening detection windows with each iteration.

Autonomous Enforcement

When thresholds are breached, enforcement actions are executed automatically:

  • Route isolation
  • Call throttling
  • Carrier suspension
  • Incident escalation

The Future of Network Protection

Fraud in telecom is no longer fought manually — it is neutralized by intelligence.

The NGN ICS AI Fraud Analytics System redefines network defense by merging predictive modeling, real-time automation, and zero-trust logic.

It’s not just monitoring fraud.

It’s eliminating it before it happens.

Integration Across NGN ICS AI Ecosystem

All Virtual NOC operations are governed by NGN ICS’s internal Security, Compliance, and Anti-Fraud frameworks, ensuring:

The AI Fraud Analytics System operates as part of the NGN ICS Autonomous Network Architecture, fully integrated with:

  • AI Quality Monitoring — validating service integrity in real time.
  • AI Routing Optimization — dynamically rerouting away from high-risk paths.
  • Virtual NOC Agent — executing containment actions instantly and without delay.

Together, they form a closed-loop defense model — Monitor → Detect → Act → Verify.

Operational Benefits

  • Instant Threat Identification — no reliance on manual reviews or external alerts.
  • Real-Time Containment — automated isolation of high-risk routes.
  • Network Integrity — fraud detection built directly into the routing fabric.
  • Reduced Revenue Leakage — active blocking of artificial or abusive traffic.
  • Global Scalability — continuous protection across all NGN ICS regions and carriers.
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