Skip to main content Skip to footer

Overview

In today’s hyper-connected telecom ecosystem, revenue leakage and fraud are no longer isolated issues—they are systemic risks. The expansion of digital channels, increasingly complex partner networks, real-time charging models, and heightened customer expectations have significantly amplified these threats. Even a one percent revenue leakage can result in tens of millions of dollars in annual losses for global operators.

To address these challenges with confidence, Infosys Fraud Guard empowers telecom operators with proactive, AI-driven capabilities that safeguard revenue integrity while strengthening customer trust.

Line

Key stats

$10 Mn Saved for a large Australian telco
90% Fraud coverage across value chain
75% Reduction in time to detect and act

Infosys Fraud Guard framework

Infosys Fraud Guard framework is a classic blend of:

  • Agentic AI for autonomous operations, learning, and preventive controls
  • Generative AI for faster investigation, summarization, and root-cause analysis
  • Advanced analytics & machine learning for anomaly detection
  • Managed Services with deep telecom expertise and combined industry intelligence

This helps you transform your telecom resilience with a unified, AI‑powered and insight‑driven vision for next‑generation fraud and revenue assurance.

Line

Fraud management across the telecom value chain

Fraud Guard empowers telcos to safeguard their revenue and mitigate fraud across a wide range of telecom segments:

Communication service providers (B2B/B2C)

Broadband and fixed-line services

MVNOs

Digital services & content providers

Roaming & wholesale providers

We are securing every revenue moment across the telecom lifecycle— from customer acquisition to retention.

Line

Our services

Revenue Assurance Fraud Management Advanced Analytics and AI Process Consulting
  • AI-driven end-to-end RA across lead-to-cash and order-to-cash
  • Digital channel and partner assurance
  • Margin assurance for B2B and wholesale (contract vs billing vs usage)
  • Migration and transformation assurance
  • Product and offer assurance
  • Usage-to-bill-to-cash reconciliation
  • Agentic AI–led fraud detection and auto-response
  • Digital and identity fraud
  • Payments, wallet, and refund fraud
  • Dealer, agent, and commission fraud (behavioral + network-based models)
  • Subscription and promotion abuse
  • IoT and enterprise fraud
  • Agentic AI-led advanced analytics
  • Gen AI-powered knowledge management
  • ML risk scoring and propensity models
  • Adaptive rule lifecycle
  • Graph and network analytics
  • Predictive and prescriptive analytics
  • Unified RAFM control tower
  • RAFM maturity and capability assessments
  • Automation and agentification
  • Controls rationalization
  • Outcome-based managed services
  • Regulatory, audit, and compliance
  • Change and adoption management (analysts to AI supervisors)
Shift from “post-facto controls” to “preventive, design-time assurance” Focus on fraud-as-a-system, not isolated fraud types Move from dashboard-based decisions, to autonomous actions From “managed services” to “managed outcomes”

Solution architecture

Take control of revenue risks—deploy Infosys Fraud Guard today

Challenges and solutions for telecom fraud guard

A fraud management system in telecom is an end-to-end security framework designed to detect, investigate, and prevent malicious activities across a telecommunications network. Modern platforms continuously analyze call detail records (CDRs), network signaling, and subscriber behaviors in real time to stop revenue leakage and protect customer data before financial damage occurs.

An advanced telecom fraud management solution provides 360-degree protection against a wide spectrum of threats. This includes International Revenue Share Fraud (IRSF), Wangiri (one-ring scams), SIM box/interconnect bypass fraud, PBX hacking, account takeovers, and subscription fraud. By monitoring the entire customer lifecycle, operators can secure every revenue moment from acquisition to retention.

Legacy fraud systems rely on static, backward-looking rules that struggle to catch new threat patterns and often generate high volumes of false positives. By leveraging agentic AI in telecommunication, modern systems establish behavioral baselines and use machine learning to detect zero-day anomalies. This allows the system to autonomously flag and block suspicious activities such as a sudden spike in high-cost international calls at 3 AM shifting the defense strategy from reactive to predictive.

Because telecom attacks are highly automated, financial damage can escalate within minutes. Infosys Fraud Guard utilizes autonomous AI agents to correlate data across siloed systems and execute automated responses in milliseconds. This drastically shrinks the window of exposure, resulting in a 75% reduction in the time required to detect and act upon emerging threats.

Request for services

Find out more about how we can help your organization navigate its next. Let us know your areas of interest so that we can serve you better.

All the fields marked with * are required

Opt in for marketing communication Privacy Statement