Telecom Fraud Platform: an operating model for loss prevention, not a report

What this solution is

Telecom Fraud Platform is the operating loop where fraud detection, investigation and prevention work as a connected system with a measurable effect on the operator’s losses.

At most operators antifraud today looks like this: a team of 5-15 analysts, scattered rules in billing, periodic SQL queries to look for suspicious patterns, investigation in spreadsheets, a quarterly report. The team works hard, losses become visible 30-90 days after the event, and a portion of losses is not attributed to a specific fraud type at all.

The platform closes the gap between “we know there is fraud” and “we see what it costs and reduce it systematically”.

When the operator needs this solution

A few readiness signals.

Fraud losses are not measured as a percentage of revenue. The team says “we have fraud” but answers “how much” evasively at committee. That means there is nothing to reduce — there is no baseline.

Dealer fraud stays a grey area. Some activations are processed without a real customer to harvest the commission. Everyone knows, nobody counts.

SIM swap happens, but the cycle from event to bank-partner notification takes days, not minutes. The bank loses money, the operator does not get a chance to be useful.

Bonus abuse is not caught. Promo codes get reused through manipulation, and it is invisible until finance reconciles against plan.

Subscription fraud — the customer is signed up to services they did not consent to. Complaints exist, systematic analysis does not.

If 2-3 of these signals are present, the platform delivers measurable effect within 9-12 months.

How it works

The platform consists of four connected layers.

Real-time detection. The event stream (SIM activations, device changes, transactions, tariff changes, promo code use) flows through a rules engine and ML models. Suspicious events are flagged in the moment.

Case management. Each flag creates a case with context, an assigned analyst, status, deadline. Not a generic ticketing system but a fraud investigation discipline with its own playbooks.

Action layer. Some confirmed fraud cases are handled automatically (SIM block, bonus revocation, dealer commission freeze), some manually. Decisions are logged.

Loss measurement and feedback. Each case has a financial measurement: what was prevented, what was lost. Once a month the fraud committee sees the loss curve by type and recalibrates the rules.

What an engagement with SamaraliSoft includes

Audit of the operator’s fraud landscape (3-4 weeks). Which fraud types matter, how they are detected today, which losses are measurable and which are not. A priority map.

Platform design (4-6 weeks). Architecture for rules + ML, case management workflow, action playbooks, dashboard for the fraud committee.

Pilot on 2-3 fraud types (90-120 days). Usually we start with dealer fraud and SIM swap — the categories with the fastest wins. The operator’s team works as case officers, we sit alongside as guardrails.

Expansion of fraud types (6-9 months). Bonus abuse, subscription fraud, network fraud (revenue share manipulation), partner fraud. Each type has its own playbook on a shared platform.

Ownership handover (last 30 days). Operating routine sits with the operator, we step away. Optional quarterly review.

What the operator gets

Measurable results on a 6-9 month pilot:

Reduction in fraud losses across detected categories typically 20-50% (depends on current level and type).

Time from event to fraud confirmation drops from 7-30 days to hours.

Signals to bank partners on SIM swap and device change arrive in real time, reinforcing the operator’s position as a trust layer.

Dealer commission validation moves to postpaid (paid after 90 days of active use), which by itself reduces dealer fraud.

Fraud financial reporting moves from “evasive” to concrete numbers at committee.

When the solution is not needed

If the main losses are not fraud but operational sloppiness in billing and reconciliation — revenue assurance first, fraud platform second.

If the dealer network is structurally unreformable (contracts do not permit postpaid commission, no authority to change rules), part of fraud scenarios will not close.

If an ML team does not exist internally and a vendor partnership is undefined, the platform turns into expensive consultancy without operational change.

If the regulatory framework on data sharing with bank partners is unclear, signal exchange ends up in a legal grey zone.

If C-level is not committed to a pre-pilot baseline measurement (it requires acknowledging current losses, which is uncomfortable), the pilot will lack a reference point.

How to start

Request the Fraud Loss Diagnostic — 3 weeks of work. The output: sizing of operator fraud losses by type, a recommendation on the priority 2-3 categories for the pilot, and a realistic ROI estimate on a 12-month horizon.

Related reading

• /en/insights/telecom-sim-swap-banking-fraud/ — SIM swap and banking fraud
• /en/insights/telecom-anti-scam-layer/ — anti-scam at network level
• /en/insights/telecom-dealer-quality-score/ — dealer quality score
• /en/insights/telecom-revenue-assurance/ — revenue assurance