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        Case ID :

        Mule Hunter tool showing good success rate: RBI Governor

        November 20, 2025

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        New Delhi, Nov 20 (PTI) Reserve Bank Governor Sanjay Malhotra on Thursday said the Mule Hunter tool launched to check digital fraud is showing a good success rate.

        MuleHunter.ai, an AI-enabled tool designed by the Reserve Bank Innovation Hub (RBIH) to flag mule accounts, is detecting about 20,000 mule accounts every month.

        Mule accounts are intermediary in the movement of fraudulent funds. It helps in channelling and siphoning off fraudulent money.

        Last year, the RBI launched an Artificial Intelligence (AI) and Machine Learning (ML) based model, namely MuleHunter, to prevent and mitigate digital fraud through the use of mule accounts.

        "So, we had our intermediate milestone of 20 banks to adopt it. We are quite near it. It is in the high double digits. Over there, we are well on target to achieve it. It has a good success rate. It will help over there (mule accounts)," he said during an interaction with students after delivering the VKRV Rao Memorial Lecture at the Delhi School of Economics here.

        Besides, he said, the RBI is taking a number of measures, including better coordination with the Indian Cyber Crime Coordination Centre (l4C) under the Home Ministry.

        The menace of digital fraud is something which the apex bank is constantly reviewing, he said, adding that it is reviewed at the governor level and Deputy Governor level as to how to improve the safety and security of banks and the payment system.

        To safeguard against digital fraud, Malhotra said the general public is very vigilant and alert, and desists from sharing critical information like One Time Password (OTP).

        He cautioned that customers should not be lured by schemes which promise huge returns. PTI DP NKD DP BAL BAL

        MuleHunter.ai detects mule accounts monthly, aiding prevention and mitigation of digital fraud by banks and authorities. MuleHunter.ai, an AI/ML model, is detecting roughly 20,000 suspected mule accounts monthly and is being adopted by banks to identify intermediary accounts used to channel fraudulent funds. Deployment is paired with senior-level review, coordination with cybercrime authorities, and public advisories against sharing authentication credentials as part of a combined fraud-mitigation strategy.
                          Cases where this provision is explicitly mentioned in the judgment/order text; may not be exhaustive. To view the complete list of cases mentioning this section, Click here.
                            Provisions expressly mentioned in the judgment/order text.

                                MuleHunter.ai detects mule accounts monthly, aiding prevention and mitigation of digital fraud by banks and authorities.

                                MuleHunter.ai, an AI/ML model, is detecting roughly 20,000 suspected mule accounts monthly and is being adopted by banks to identify intermediary accounts used to channel fraudulent funds. Deployment is paired with senior-level review, coordination with cybercrime authorities, and public advisories against sharing authentication credentials as part of a combined fraud-mitigation strategy.





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                                ActsIncome Tax
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