Key Details
The Department of Telecommunications’ latest update reports the expansion of a preventive fraud-control system that combines telecom intelligence with transaction checks by financial institutions.
Indicator | Reported position |
|---|---|
Suspected losses prevented | ₹5,043.73 crore by August 2026 |
Initial milestone | ₹660 crore prevented during the first six months |
Recent acceleration | More than ₹2,000 crore prevented during April–August 2026 |
Launch | 22 May 2025 |
Risk classifications | Medium, High and Very High |
Institutional capacity | More than 25 training sessions covering 1,500 banks, financial institutions and regulators |
Planned expansion | Securities intermediaries, insurers and pension-sector entities |
Telecom Intelligence Before Payments Are Completed
The Financial Fraud Risk Indicator (FRI), launched by the Department of Telecommunications in May 2025 under the Digital Intelligence Platform (DIP), assesses whether a mobile number may be associated with cybercrime or financial fraud.
It classifies numbers as Medium, High or Very High risk using signals from Sanchar Saathi, the National Cybercrime Reporting Portal, telecom operators, banks and other financial institutions, alongside telecom-related risk parameters.
These classifications are shared securely with participating institutions, allowing banks and UPI providers to use them in customer onboarding, transaction monitoring and fraud detection.
An FRI classification does not establish that fraud has occurred. It is an early-warning signal that can trigger a customer warning, additional verification, transaction review or payment restriction.
Intervention Shifting from Recovery to Prevention
Fraud proceeds can move rapidly through multiple mule accounts, making recovery difficult after payment. FRI instead enables institutions to intervene before money leaves the customer’s account.
DoT reports that cumulative suspected losses prevented increased from ₹139.16 crore in August 2025 to ₹5,043.73 crore by August 2026. More than ₹2,000 crore of this was prevented during the five months beginning April 2026 as adoption expanded.
The increase indicates growing use of FRI but does not by itself establish greater accuracy or rising fraud prevalence. Wider institutional coverage, transaction volumes and the value of flagged payments can also affect the figure.
Fraud Intelligence Shared Across Sectors
Digital fraud can begin with a call or message, involve an unlawfully obtained telecom connection and move through payment applications into bank, trading, insurance or pension accounts.
DIP provides a common intelligence-sharing layer connecting more than 1,600 stakeholders, including telecom operators, financial institutions, law-enforcement agencies and government departments.
It also distributes the Mobile Number Revocation List, covering connections disconnected because of suspected cybercrime involvement, failed re-verification, breaches of connection limits or telecom operators’ own analysis.
Coordination with the RBI, NPCI and SEBI is intended to embed telecom risk intelligence within regulated financial systems.
Coverage Expands Beyond Banks and UPI
FRI is progressively being extended to securities, insurance and pension-sector institutions, covering activities such as trading and demat accounts, policy issuance and claims, and pension-account access and transactions.
Wider use makes consistent treatment of risk signals increasingly important, particularly in deciding when to warn customers, require additional verification or stop transactions.
DoT has conducted more than 25 training sessions covering 1,500 financial institutions and regulators on FRI methodology, DIP integration and use of risk signals.
Citizen Reports Feed the Fraud-Detection System
Suspicious calls, SMS messages and WhatsApp communications reported through Chakshu on Sanchar Saathicontribute to the intelligence used by FRI.
Where financial loss has already occurred, citizens are advised to call 1930 or report through the National Cybercrime Reporting Portal. Sanchar Saathi separately allows users to identify unauthorised mobile connections in their name and block lost or stolen handsets.
What Is the Financial Fraud Risk Indicator?
The FRI is a mobile-number risk score used as an early-warning input in financial fraud prevention. It combines telecom, cybercrime, citizen-reporting and financial-sector signals to classify numbers as Medium, High or Very High risk.
Financial institutions can use the classification in real time to trigger warnings, additional verification, transaction review or payment restrictions. It indicates suspected risk; it is not a determination that the number or its user has committed fraud..
Policy Relevance
FRI connects India’s telecom and financial-sector intelligence at the stage where intervention can prevent an immediate monetary loss.
Prevention can reduce dependence on recovery: Stopping a payment before completion avoids the subsequent race to identify mule accounts, freeze balances and trace funds across institutions. This can reduce losses to citizens and the investigative burden on banks and law-enforcement agencies.
Cross-sector coverage matters: Extending FRI to investments, insurance and pensions can close routes through which fraud shifts from one regulated sector to another. Its effectiveness will depend on participation and timely action across institutions rather than telecom intelligence alone.
Risk signals require consistent operating rules: Banks, payment providers, insurers and securities intermediaries may respond differently to the same classification. Clear protocols are needed for warnings, additional verification, payment holds, escalation and restoration of service.
False positives carry real consequences: An incorrectly classified number could interrupt a legitimate payment or affect access to financial services. Institutions need mechanisms for rapid review, correction and redress without revealing fraud-detection methods that criminals could exploit.
Data sharing requires safeguards: FRI combines intelligence from citizens, telecom companies, financial institutions and government systems. Wider adoption increases the importance of purpose limitation, access controls, retention rules, audit trails and accountability for misuse.
Reported prevention should be independently measurable: The headline figure would be more informative if accompanied by the number and value of flagged transactions, confirmation rates, false-positive rates, institutional coverage and the method used to estimate losses prevented.
Relevant Question for Policy Stakeholders: What common standards will govern how banks, payment providers, insurers, pension entities and securities intermediaries act on FRI risk classifications?
Follow the Full Update Here: Department of Telecommunications: Financial Fraud Risk Indicator