RBI Policy
Introduces MuleHunter.ai to identify mule accounts
This story was originally published at 13:20 IST on 6 December 2024
Register to read our real-time news.Informist, Friday, Dec. 6, 2024
--RBI Das: Mule-hunter.AI introduced by RBI to identify mule accounts
MUMBAI – The Reserve Bank of India introduced MuleHunter.ai, an advanced artificial intelligence and machine learning model developed by Reserve Bank Innovation Hub in Bengaluru, to tackle the growing menace of mule bank accounts and digital fraud, Governor Shaktikanta Das said in his monetary policy statement detailed Friday.
First introduced during the Global Fintech Fest in August, MuleHunter.ai represents a shift in the way financial institutions can identify suspicious activities. Unlike conventional fraud detection systems that rely on predefined rules, MuleHunter.ai continuously learns from data, enabling it to adapt and evolve in response to increasingly fraudulent methods. Additionally, by improving detection capabilities, MuleHunter.ai will enhance the traceability of illicit funds and strengthen the financial system's defences against online financial crimes.
Mule accounts are typically used to launder the proceeds of crime, with fraudsters recruiting unsuspecting individuals to act as "mules" by using their bank accounts to receive or transfer illicit funds. These accounts, which often operate under false identities or third-party names, are commonly linked to money laundering, tax evasion, and other financial crimes. The difficulty in detecting these accounts stems from the fact that they are often opened by legitimate individuals who unwittingly assist in illegal activities, making detection challenging during the onboarding process.
Moreover, mule accounts violate several laws, including the Prevention of Money Laundering Act, and are in direct contravention of RBI and Securities and Exchange Board of India guidelines. To address this challenge, MuleHunter.ai aims to leverage AI and ML technologies, which can identify mule accounts more effectively than traditional rule-based detection systems. This AI-driven model could enable banks to detect fraudulent accounts swiftly and with greater accuracy, ultimately safeguarding the integrity of the financial system.
The RBI has been working closely with the Indian Cyber Crime Control Centre, under the Ministry of Home Affairs, and other regulatory agencies to combat the rise of cybercrime. According to the National Crime Records Bureau, online financial frauds accounted for 67.8% of all cybercrime complaints in the second quarter of 2025. Between 2020 and 2022, cyber fraud cases surged by 31%, with over 150,000 cases registered in 2022 alone.
Initiatives like MuleHunter.ai aim to drive innovation across India's financial sector, ensuring the country's financial infrastructure remains resilient and capable of addressing emerging threats in an increasingly digital world. End
Reported by Sachi Pandey
Edited by Namrata Rao
For users of real-time market data terminals, Informist news is available exclusively on the NSE Cogencis WorkStation.
Cogencis news is now Informist news. This follows the acquisition of Cogencis Information Services Ltd by NSE Data & Analytics Ltd, a 100% subsidiary of the National Stock Exchange of India Ltd. As a part of the transaction, the news department of Cogencis has been sold to Informist Media Pvt Ltd.
Informist Media Tel +91 (22) 6985-4000
Send comments to feedback@informistmedia.com
© Informist Media Pvt. Ltd. 2024. All rights reserved.
To read more please subscribe
