PIB Tracker
DailyWeeklyMonthlyYearlyBacktestGet early access
💰 Economy & FinanceMAINS · GS3.18

DoT and SEBI link data to fight telecom frauds

An MoU lets telecom-fraud intelligence flow to the securities regulator to pre-empt market scams.

What happened

Background & context

The MoU sits inside a wider fraud-fighting stack that DoT has assembled over the past few years under the brand Sanchar Saathi — a citizen-facing portal and app of the Department of Telecommunications that lets users report suspected fraud communication, trace and block lost or stolen handsets, and see how many mobile connections are issued against their name. Sanchar Saathi is not a scheme with an outlay in the usual sense; it is a public-grievance and enforcement utility that bundles several back-end tools. The most exam-relevant of those tools are named in this release, and each is a separate entity worth knowing.

Chakshu is the reporting facility on Sanchar Saathi where a citizen flags a suspected fraudulent call, SMS or WhatsApp message — a fake KYC update, an impersonation of a bank, a bogus investment tip. ASTR (Artificial Intelligence and Facial Recognition powered Solution for Telecom SIM Subscriber Verification) is the analytics engine DoT uses to detect connections taken on forged or duplicate documents; the release credits ASTR with the disconnection of more than 88 lakh fraudulent mobile connections under Sanchar Saathi. The Mobile Number Revocation List (MNRL) is the published list of numbers that have been disconnected on such grounds, so that banks, wallets and now SEBI-regulated intermediaries can scrub these numbers from their own records.

The newest piece is the Financial Fraud Risk Indicator (FRI). It is an early-warning risk score: DoT classifies a mobile number into risk bands by drawing together inputs from Chakshu reports, intelligence shared by financial institutions, and inputs from law-enforcement agencies. A bank, payment app or — under this MoU — a securities intermediary can then check a number against the FRI before processing a transaction and apply extra friction or decline it. The release states that FRI deployment has prevented roughly ₹2,300 crore in losses over ten months. The DoT-SEBI MoU plugs the securities ecosystem into this same pipeline so that the warning reaches stockbrokers, registered investment advisers and research analysts, not only banks.

SEBI itself is the relevant counterpart here. The Securities and Exchange Board of India is a statutory body set up under the SEBI Act, 1992, with its headquarters in Mumbai. It was first constituted as a non-statutory body in 1988 and given statutory teeth in 1992. Its mandate is the protection of investors, the development of the securities market, and its regulation. The frauds this MoU targets — fake trading tips circulated by SMS and messaging apps, impersonation of SEBI-registered advisers, and "pump-and-dump" or fake-IPO allotment scams routed through mule bank accounts — almost always begin with a telecom resource: a number, a SIM, a spoofed sender ID. Cutting off that resource early is the logic of the data exchange.

A word on the carrier itself, because it is the part most easily confused. The Digital Intelligence Platform (DIP) is a secure, restricted-access platform run by DoT for near real-time intelligence sharing among stakeholders in the telecom-fraud ecosystem — operators, banks, financial-sector regulators, social-media platforms and law-enforcement agencies. It is deliberately not a public website: ordinary citizens interact with the consumer-facing Sanchar Saathi portal, while institutions exchange operational data over the DIP. The MoU simply adds SEBI as one more institutional node on this existing backbone rather than building anything new, which is why it can take effect quickly. The release puts the DIP's reach at more than 1,400 stakeholders.

It helps to compare this with the model the same toolkit already runs with the banking system. There, the Reserve Bank-supervised banks and payment operators consume the FRI and the MNRL to decline or hold suspicious transactions; the DoT–SEBI MoU mirrors that arrangement for SEBI-regulated intermediaries — stockbrokers, depositories, registrars, and registered investment advisers and research analysts. The peer to keep in mind is the broader Indian Cyber Crime Coordination Centre (I4C) ecosystem under the Ministry of Home Affairs, which runs the National Cybercrime Reporting Portal and the citizen helpline 1930; the Sanchar Saathi tools feed the telecom-layer intelligence that complements I4C's complaint-and-recovery layer. The two are partners, not duplicates: DoT owns the telecom resource, the MHA's I4C owns the cybercrime complaint and the money-trail freeze.

For Prelims

For UPSC: DoT–SEBI MoU = two-way sharing of FRI + MNRL over the Digital Intelligence Platform (DIP); FRI is fed by Chakshu under Sanchar Saathi; SEBI is a statutory regulator under the SEBI Act, 1992.

Why it matters

Securities-market fraud has migrated from the trading floor to the smartphone. The typical scam now reaches the victim as a message — a "guaranteed return" stock tip, a fake link to a high-allotment IPO, or a caller posing as a registered adviser — and the money exits through a chain of mule accounts. Each of these steps rides on a telecom resource that DoT can see but SEBI historically could not, and on a financial flow that SEBI can see but DoT could not. The MoU closes that visibility gap: DoT hands SEBI the numbers already known to be fraud-prone or revoked, and SEBI hands DoT the numbers surfacing in fresh market scams. The intended effect is to disrupt a fraud before the investor loses money rather than to chase the proceeds afterwards.

It also illustrates a model of governance that recurs across the syllabus: regulators and departments sharing structured data through a common digital backbone (here, the DIP) instead of working in silos. The same logic underpins the linking of DoT's fraud data with banks and the RBI ecosystem. For the aspirant, the release is useful less as a standalone fact and more as a clean, current example of technology-enabled, inter-agency cyber-fraud prevention — a problem the government itself frames as growing faster than any single regulator can handle alone.

For Mains

Anchor
A question on combating financial cyber-fraud or money-laundering can be anchored on the DoT–SEBI data-sharing MoU as the latest institutional response — extending telecom-fraud intelligence from banking into the capital markets.
Exemplification
Use it as a concrete example of inter-agency, platform-mediated governance: the Digital Intelligence Platform connecting 1,400+ stakeholders shows how a shared digital backbone can replace siloed regulation.
Substantiation
Hard numbers to deploy: FRI prevented ~₹2,300 crore in losses in 10 months; 88 lakh+ fraudulent connections disconnected under Sanchar Saathi via ASTR.
Problematisation
The release implicitly admits the scale of the problem — fraud reaches investors through ordinary telecom channels faster than a single regulator can track, exposing the limits of siloed enforcement.
Way-forward
Points toward data-sharing protocols, common risk indicators and real-time inter-regulator pipelines as the direction for cyber-security and investor protection.
Position
The government's stated stance: protect citizens by pre-empting fraud at the telecom-resource layer through Sanchar Saathi tools rather than only prosecuting after the loss.
Deploys into: cyber-security and money-laundering (GS3.18); the role and coordination of statutory/regulatory bodies (GS2.9); e-governance and technology in service delivery and enforcement.
Ministry of Communications · 2026-04-15 · PRID 2252266 · PIB source ↗

Related: Sanchar Saathi / DoT fraud-fighting hub · Economy & Finance · This week's cards