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₹5,000 Crore Saved From Cyber Fraud: Here's How the Government Is Stopping Payments

September 9, 2026

The government's Financial Fraud Risk Indicator has helped prevent suspected cyber fraud transactions worth more than ₹5,000 crore since its launch in May last year, marking a significant shift in how authorities are approaching fraud prevention, stopping fraudulent payments before money ever leaves a victim's account, rather than trying to recover it afterward.

What the Financial Fraud Risk Indicator Actually Is

The Financial Fraud Risk Indicator, or FRI, is a risk-assessment framework developed by the Department of Telecommunications to help financial institutions determine, in real time, whether a mobile number is potentially associated with cybercrime or financial fraud.

The system classifies mobile numbers as carrying a Medium, High, or Very High risk of being linked to financial scams, drawing on information from multiple sources: the Indian Cybercrime Coordination Centre's National Cybercrime Reporting Portal, DoT's Chakshu platform, and reports submitted directly by banks and other financial institutions. The tool operates as part of DoT's broader Digital Intelligence Platform, sharing critical risk signals with banks, UPI applications, and financial companies so potentially fraudulent transactions can be stopped before they're completed.

How Much Fraud Has This Actually Prevented

According to the communications ministry, FRI has helped protect ₹5,043.73 crore of citizens' money as of August 2026. To put that growth in perspective, cumulative savings through the system stood at just ₹139.16 crore in August 2025, before crossing the ₹5,000 crore mark within a year. More than ₹2,000 crore in suspected fraud losses were prevented during just the four months from April 2026 alone, a sharp acceleration that suggests the system has genuinely scaled up in effectiveness rather than simply accumulating slowly over time.

These figures underline the government's increasing focus on stopping suspicious transactions right at their point of origin, rather than relying on the far harder process of trying to recover money after it's already moved through the financial system.

How FRI Actually Stops Suspicious Transactions

Financial institutions can use the risk information FRI provides during customer onboarding, transaction monitoring, and fraud detection, allowing banks and other institutions to flag or stop high-risk transactions before money ever leaves a customer's account.

The communications ministry has described this as a genuine shift from responding to fraud after it happens toward preventing it at the actual point of transaction. Stopping a suspicious payment upfront also avoids the entire downstream process that follows a completed fraud, filing complaints, conducting investigations, freezing accounts, issuing record requisitions, and attempting recovery, all of which take time while cyber fraud proceeds can move through multiple mule accounts within minutes, making recovery genuinely difficult once a transaction has actually gone through.

Which Institutions Are Actually Using This System

The Department of Telecommunications has worked closely with the Reserve Bank of India, National Payments Corporation of India, Securities and Exchange Board of India, and other financial-sector stakeholders to integrate FRI risk signals into their own fraud-prevention systems. The framework is also being extended beyond conventional banking and payments, into securities-market intermediaries, insurance companies, and pension-sector entities, aimed at preventing fraud involving trading and demat accounts, insurance transactions, and pension accounts as well.

More than 1,600 organisations are now on the Digital Intelligence Platform, and DoT has conducted more than 25 training sessions covering 1,500 banks, financial institutions, and regulators on FRI methodology, platform integration, and how to actually use these risk signals in practice.

Why Citizen Participation Matters Here Too

Ordinary citizens play a genuine role in feeding this system too. Reports of suspicious calls and messages submitted through Sanchar Saathi and its Chakshu facility directly feed the intelligence FRI relies on. The government has advised people to take warnings displayed by banking and UPI apps seriously, and to independently verify payment details before proceeding with any transaction, rather than dismissing an in-app warning as unnecessary friction.

Information gathered from citizens, financial institutions, and cybercrime reporting systems all combine to help identify which mobile numbers carry a genuinely higher risk of involvement in financial scams, effectively crowdsourcing part of the fraud-detection intelligence itself.

What Cyber Fraud Victims Should Do

If a financial cyber fraud has already occurred, victims are advised to immediately call the national cybercrime helpline at 1930 or report the incident through the National Cybercrime Reporting Portal. Quick reporting remains genuinely important, since cyber fraud money can move through multiple mule accounts in a short period, making recovery increasingly difficult the further it travels through the financial system.

FAQs

Q1. How much money has the Financial Fraud Risk Indicator protected so far?

₹5,043.73 crore as of August 2026, up from ₹139.16 crore in August 2025.

Q2. How does FRI actually classify risk?

It classifies mobile numbers as Medium, High, or Very High risk of being linked to financial scams, drawing on data from the National Cybercrime Reporting Portal, DoT's Chakshu platform, and bank reports.

Q3. Which sectors is FRI being extended to beyond banking?

Securities-market intermediaries, insurance companies, and pension-sector entities, aimed at preventing fraud involving trading, demat, insurance, and pension accounts.

Q4. What should someone do if they've already fallen victim to cyber fraud?

Call the national cybercrime helpline at 1930 immediately or report the incident through the National Cybercrime Reporting Portal, quick action improves the chances of tracing or stopping the money.

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