₹20,000 Crore Stolen in Cyber Frauds. The Government Finally Has an AI Fix. But Banks Aren’t Using It

Key Takeaways 

• Financial Services Secretary M. Nagaraju directed banks on April 30, 2025, to adopt the RBI’s MuleHunter AI tool at the earliest to detect and block mule accounts used in cyber frauds. 
   
• As of December 2025, only 23 banks had implemented MuleHunter AI, per an RTI response from the RBI. RBI Governor Sanjay Malhotra had noted in November 2025 that nearly 20 banks had adopted the system.

India’s Cyber Fraud Crisis is Getting Worse. Here is what the Government is doing?

The Department of Financial Services (DFS) Secretary chaired a high-level meeting. It included the Hyderabad Police Commissioner and senior officials from I4C, CBI, RBI, and major banks. The purpose was to review digital financial fraud and the growing use of mule accounts by cybercriminals. The meeting also took insights from Operation Octopus, a drive by Hyderabad Police against cyber fraud networks. 

Cybercriminals have used mule account networks to siphon off nearly ₹20,000 crore. Around ₹8,189 crore has been recovered and returned to victims. The scale of the issue is serious. But one major risk remains that banks are slow in adopting the very tool designed to fight this problem. 

How MuleHunter AI Can Protect Ordinary Indians From Losing Their Money

The Ministry of Home Affairs has directed all financial institutions to integrate with the MuleHunter platform by December 2026. The tool is already showing results. The technology is capable of detecting and blocking approximately 20,000 mule accounts monthly, helping authorities disrupt the financial channels used by cybercriminals.

The concentration of mule accounts has not been equal across regions. Nuh district recorded over 1,000 mule accounts in 2025. Jamtara district saw more than 350 such accounts detected during the same period. Ordinary Indians in these areas face the highest risk.

What experts say and what needs to change now?

M. Rajeshwar Rao, Deputy Governor of the Reserve Bank of India, has stressed the need for responsible use of AI in the banking sector. In September 2025, he warned about risks like algorithmic bias, lack of transparency in models, and possible system-level vulnerabilities. This means the tool should be implemented carefully, not just quickly.

The Department of Financial Services Secretary also advised State Level Bankers’ Committees to inform State Police Authorities about the steps taken by banks. He encouraged them to increase public awareness efforts. 

The RBI’s larger plan also includes the Zero Financial Frauds Hackathon, which aims to find new and innovative solutions from across India to tackle growing challenges in digital fraud prevention.

Conclusion 

The government’s push to quickly adopt MuleHunter AI is urgent and important. The system can stop suspicious transactions before money is withdrawn. It also sends alerts so banks can block transfers and freeze accounts.

But wider adoption, better coordination between banks and police, and more public awareness must happen together. Without this, even the best AI tool cannot fully protect people in India.

Frequently Asked Questions 

Q1. What is RBI’s MuleHunter AI tool, and why is it important for digital fraud?
MuleHunter AI is a tool developed by the Reserve Bank of India to detect mule accounts used in cyber fraud. It uses data analysis to identify suspicious patterns. This helps banks take quick action and prevent fraud, making it an important step in improving digital security.

Q2. How does RBI’s MuleHunter AI help identify and block mule accounts?
MuleHunter AI tracks unusual transaction behaviour and flags accounts that may be used for fraud. Once identified, banks can stop transactions and freeze these accounts. This helps in reducing financial losses and protecting customers.