/// TELECOM · FRAUDTelecom Fraud Detection
Real-time fraud detection and management for operators, ISPs, MVNOs and CPaaS providers — IRSF, Wangiri, SIM swap, SIM box and SMS pumping caught while the loss is still small.
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TRUSTED BY TEAMS
Telecom fraud runs on a different clock from most business risk. International revenue share fraud can run up large losses in hours, usually overnight or at a weekend, and SIM swap fraud can empty a customer’s bank account before anyone notices their phone has stopped working.
Sodio builds telecom fraud detection for operators, ISPs, MVNOs and CPaaS providers that scores every call, message and account change as it happens, blocks what is clearly fraudulent, and puts the uncertain cases in front of an analyst within minutes.
/// IS CUSTOM RIGHT FOR YOU?
When a Fraud Management Suite Is the Right Answer
Established telecom fraud management vendors serve many large operators, and if one fits your network and budget, use it. For regional operators, MVNOs and CPaaS providers, a system built around their own traffic and systems is often faster to deploy and cheaper to run.
A packaged suite fits when
- You run a large, standard network the suite already supports
- You have a fraud team large enough to run it
- You need every fraud type covered from the start
- Licence cost is justified by your traffic volume
A custom system fits when
- Your stack mixes vendors, older systems and your own software
- Fraud is handled by a small team with other jobs
- You want to stop your biggest losses first, then extend
- The licence would cost more than the fraud it stops
/// WHAT IT COVERS
What Telecom Fraud Detection Covers
Real-time event scoring
IRSF and high-risk destinations
Wangiri protection
SIM swap and port-out protection
SIM box detection
Subscription fraud at sign-up
PBX and enterprise protection
SMS pumping protection
Roaming fraud monitoring
Case management and actions
/// FROM EVENT TO ACTION
From a Suspicious Call to a Blocked Loss — in Minutes
A call, message or account change happens
Captured from the network, mediation or customer systems as it occurs
Its risk is assessed
Rules and models score it against the customer’s normal behaviour
High-risk events are separated out
Clear-cut cases actioned automatically; uncertain ones queued for review
The loss is stopped
Destination barred, service limited or SIM suspended, as your rules allow
An analyst reviews the case
Evidence gathered in one place; the customer contacted if needed
The case is closed
The outcome fed back so rules and models improve
/// TYPES OF TELECOM FRAUD
Types of Telecom Fraud, and How Each Is Caught
Telecom fraud takes many forms, and each leaves a different trail in the network's data.
Industry surveys put global telecom fraud losses in the tens of billions of dollars a year.
///RULES, MODELS AND RINGS
Rules, Models and Fraud Rings
Fraudsters adapt as soon as a pattern is blocked, so no single method is enough.
Rules for the known
Known fraud patterns caught instantly by rules — limits per destination, time of day and customer type — that the fraud team can change themselves.
Models for the new
Machine learning that spots behaviour unlike anything seen before, and reduces false alarms by learning what each customer’s normal looks like.
Links between cases
Accounts, devices, addresses and payment details connected, so a fraud ring shows up as one pattern rather than many unrelated cases.
Known fraud patterns caught instantly by rules — limits per destination, time of day and customer type — that the fraud team can change themselves.
Machine learning that spots behaviour unlike anything seen before, and reduces false alarms by learning what each customer’s normal looks like.
Accounts, devices, addresses and payment details connected, so a fraud ring shows up as one pattern rather than many unrelated cases.
/// COMPARE
Manual Review, a Fraud Management System or Custom Detection
/// COST AND TIMELINE
What Drives the Cost and Timeline
A pilot covering your costliest fraud type, tested against past traffic and known cases, typically runs within 30 days. Real-time detection across the main fraud types follows within 90.
The cost moves with six things: the volume of events per second; whether detection must be real time or can run in batches; how many fraud types are covered; the systems it connects to, from switches and mediation to subscriber databases, porting and billing; how many actions are automated; and the case management your fraud team needs.
/// FAQ
Frequently Asked Questions
Telecom fraud is using a telecom network or service to make money dishonestly, or to avoid paying for service. It includes generating calls to premium numbers the fraudster profits from, disguising international calls as local ones, taking over a customer’s number to intercept their bank codes, and signing up with a false identity to walk away with a device.
By watching the network’s events — calls, messages, data sessions and account changes — as they happen, and scoring each one against what is normal for that customer, that destination and that time of day. Known fraud patterns are caught with rules; new patterns are found with models; and high-risk activity is blocked or queued for an analyst within minutes.
Much faster than most people expect. International revenue share fraud can run up large losses in a few hours, and it is often launched at night or over a weekend when nobody is watching. Detection that works from yesterday’s records has already paid out; it needs to act on events as they arrive.
At several points. Swap and port-out requests are scored for risk and require stronger verification before they proceed, and contact centre agents are warned when a request looks like social engineering. Operators can also let banks check whether a number has recently changed SIM before trusting a text message code, through SIM swap check services such as those developed under the GSMA’s Open Gateway initiative.
It should not, and false positives are measured as carefully as fraud caught. Actions are tiered — a warning, a temporary limit, a block — so the response matches the confidence. Uncertain cases go to an analyst, and trusted customers and destinations can be excluded from rules that would otherwise catch them.
No, though they work closely together. Fraud management stops people deliberately taking service without paying. Revenue assurance finds the revenue an operator loses through its own system errors and gaps. The two share data, and many investigations touch both.
/// RELATED SERVICES
Related Industries and Services
Routes where scope overlaps with telecom fraud detection.
/// GET STARTED
Start With Last Month’s Fraud
Share a month of traffic records and the fraud cases you already know about. We will assess, free, how much sooner each one could have been caught, and how much of the loss could have been stopped.