- Why in news
- On 12 May 2026, the Indian Cyber Crime Coordination Centre (I4C) under the Home Ministry and the Reserve Bank Innovation Hub (RBIH) signed an MoU to curb mule accounts and cyber financial fraud using AI.
- What it is
- I4C is the Ministry of Home Affairs body that coordinates the national response to cyber crime among law enforcement agencies. It runs platforms such as the National Cybercrime Reporting Portal and the Suspect Registry. RBIH is the Reserve Bank of India's wholly owned subsidiary that promotes innovation in the financial sector.
- Parties to the MoU
- I4C of the Ministry of Home Affairs and the Reserve Bank Innovation Hub signed the MoU.
- Areas of cooperation
- The MoU covers fraud-risk intelligence sharing, analytical support and operational coordination.
- RBIH status
- RBIH is a wholly owned subsidiary of the Reserve Bank of India.
- I4C platforms
- I4C works through the National Cybercrime Reporting Portal (NCRP), the Suspect Registry and other intelligence-sharing mechanisms.
- Constitutional basis
- Police and Public Order are State subjects in the Seventh Schedule. The Centre supports States through advisories and financial assistance.
- Samanvaya platform
- An MIS, data repository and coordination platform for LEAs. Its Pratibimb module maps locations of criminals and crime infrastructure.
- e-FIR
- The e-FIR system for cybercrime cases is in place in Delhi, Rajasthan, Chandigarh, Madhya Pradesh, Goa and Uttarakhand.
Don’t confuse with I4C vs CERT-In: I4C coordinates law-enforcement action against cyber crime under the Home Ministry. CERT-In is the technical agency for cyber security incidents, under the Ministry of Electronics and IT.
Don’t confuse with RBIH vs RBI: RBIH is a separate company that is a wholly owned subsidiary of the RBI, set up to promote financial-sector innovation. It is not the central bank itself.
Don’t confuse with CFCFRMS vs Suspect Registry: CFCFRMS handles immediate reporting of financial frauds to stop funds leaving. The Suspect Registry is a database of cyber criminal identifiers shared with banks.
Why it matters
- Linking police intelligence with bank AI systems can detect mule accounts early and cut the spread of fraud proceeds.
- It builds citizen trust in digital payments.
- Gives States a shared national platform for data, analytics and technical help against cross-State cybercrime.
- Quick reporting and bank-linked tools help freeze fraud proceeds early.
Problems
- Sharing suspect data between agencies raises privacy and data-protection concerns, and wrongly flagged accounts can harm innocent users.
- Fraudsters keep changing methods, so AI models need constant retraining.
- Police being a State subject limits central control, and e-FIR is not yet in all States.
- Mule accounts keep appearing, so banks and agencies must act faster.
Way forward
- Set clear safeguards, review and grievance mechanisms for accounts flagged as suspect.
- Extend real-time data sharing to all banks, fintechs and telecom providers.
- Extend e-FIR and Samanvaya use to all States/UTs with stronger police training.
- Deepen real-time data sharing with banks and telecom providers.
Put in your answer
I4C platforms: The National Cybercrime Reporting Portal and the Suspect Registry are examples of coordinated cyber crime response under MHA.
AI in fraud detection: MuleHunter.ai is an example of AI used by banks to detect mule accounts.
Suspect Registry outcome: 27.37 lakh Layer 1 mule accounts shared; declined transactions worth over Rs 9,518 crore.
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UPSC’s own questions that come close to this issue, from our Prelims and Mains banks.
No practice question for this one; the card may still help an answer. Why: I4C is a lasting body on cyber security, but the MoU has few facts to test.
Worth revising until Prelims 2027: most news questions come within two years of the event.