PIB TrackerSanchar Saathi at 30 crore visits: 12.8 lakh reports, 50 lakh lines cut
The telecom fraud portal publishes its dashboard - 60.96 lakh handsets blocked, 14 lakh recovered, and Rs 5,000 crore of suspected fraud said to have been prevented.
What happened
- The Sanchar Saathi portal has crossed 30 crore visits since launch in May 2023, run by the Department of Telecommunications.
- 60.96 lakh lost or stolen handsets blocked, 37.85 lakh traced and over 14 lakh recovered.
- Over 4 crore citizen requests to check mobile connections issued in their name have been resolved.
- 12.80 lakh Chakshu inputs led to action in 59.82 lakh cases, including disconnection of more than 50 lakh connections.
- Suspected cyber-fraud losses of more than Rs 5,000 crore are said to have been prevented through the Financial Fraud Risk Indicator.
For Prelims
- Sanchar Saathi: launched May 2023 by the Department of Telecommunications. Its services run on the Central Equipment Identity Register, the database of handset IMEI numbers used to block a device across every operator at once.
- IMEI: the International Mobile Equipment Identity, a 15-digit number unique to a handset. Blocking it on the CEIR makes the phone unusable on any Indian network regardless of which SIM is inserted.
- Chakshu: the reporting facility for suspected fraud calls, SMS and WhatsApp messages. It is a citizen reporting channel, distinct from a complaint about money already lost.
- Financial Fraud Risk Indicator: a risk score shared by DoT with banks and payment operators, so a transaction to a flagged number can be delayed or declined before the money moves.
- Digital Intelligence Platform: the secure backend through which DoT, telecom operators, banks, police and other agencies exchange intelligence on misuse of telecom resources.
- 1930: the national cyber crime helpline, run with the Indian Cybercrime Coordination Centre (I4C) under the Ministry of Home Affairs - the number to call after money is lost, where Sanchar Saathi acts before.
- Why connection-level action scales: a fraud operation needs working mobile numbers. Disconnecting the number is cheaper and faster than prosecuting the person, which is why 50 lakh disconnections and few prosecutions sit in the same system.
- Jan Bhagidari: the participation framing used here - the citizen is a reporter in the enforcement chain rather than only a victim or a beneficiary.
For UPSC: A rare example of a government platform publishing its own operating numbers, and the best current illustration of crowd-sourced enforcement. Deploy it on cyber security and financial fraud, on digital public infrastructure for citizen protection, on the institutional map from DoT to I4C to the banks, and as a case where citizen reporting substitutes for investigative capacity.
What it is NOT: The Rs 5,000 crore figure is a prevented-loss estimate, which means a model of what would have happened - no method, no assumption set and no independent validation is given, and it is the number most likely to be quoted. No false-positive rate for the 50 lakh disconnections, and no appeal or restoration figure, although a wrongly disconnected number is a serious harm. No prosecution or conviction data anywhere. No time series, so whether fraud is falling is unknowable from this. And no figure for losses that still occurred, which is the denominator the prevented-loss number needs.
For Mains
Syllabus: GS3.18 · GS2.15 · Linkage L1
Anchor
The Sanchar Saathi portal has crossed 30 crore visits since May 2023, and the Department of Telecommunications has published the dashboard behind that number: 60.96 lakh handsets blocked, 37.85 lakh traced and over 14 lakh recovered; more than 4 crore requests resolved from citizens checking which connections stand in their name; and 12.80 lakh fraud reports through Chakshu.
Substantiation (data)
The ratio inside those figures is the finding. Twelve lakh eighty thousand citizen reports produced action in 59.82 lakh cases - a multiplier of about 4.7 - and more than 50 lakh mobile connections were disconnected on the strength of them. On handsets, recovery runs at roughly 23 per cent of those blocked and 37 per cent of those traced. The Financial Fraud Risk Indicator, fed by the same reports, is credited with preventing suspected losses of more than Rs 5,000 crore.
Position
The design insight is that fraud is a network, so a report about one number is information about many. A single Chakshu input identifies a number, a device or a pattern that is being used against people who have not complained and do not yet know they are targets, which is why 12.8 lakh reports can justify action in 59.8 lakh cases. No investigative agency could reach that reach on its own; this is enforcement capacity built out of citizen attention rather than staff.
Counterpoint
Two numbers need care. Rs 5,000 crore "prevented" is a modelled counterfactual - a calculation of what would otherwise have been lost - and no method, assumption or validation accompanies it; it is also the number certain to be quoted. And 50 lakh disconnections is a very large exercise of power with no false-positive rate, no appeal figure and no restoration count published against it. A wrongly disconnected number cuts a person off from banking, identity verification and work.
Way forward
Three disclosures would complete this: the false-positive and restoration rate on disconnections, the method behind the prevented-loss estimate, and a time series so the direction of fraud can be read rather than only the volume of action. The fourth is prosecutions - 50 lakh connections were cut and the release records no conviction, which means the system is disrupting fraud without reaching the people running it.
Conclusion
The most effective citizen-facing enforcement platform the government runs, and it is publishing its numbers, which is more than most. The caution is proportionate to the scale: an instrument that can disconnect 50 lakh connections on crowd-sourced reports needs to publish its error rate as readily as its success rate.
Deploys into: Cyber security and financial fraud · Digital public infrastructure for citizen protection · Crowd-sourced enforcement and its safeguards · Telecom regulation and identity misuse
Ministry of Communications · 2026-10-05 · PRID 2319087 · PIB source ↗