
Banks are collaborating with the Financial Intelligence Unit, FIU-IND to strengthen the Suspicious Transaction Report (STR) framework for money mule accounts and standardise early markers to detect patterns in syndicated cases. According to reports from The Economic Times, banks are now deploying artificial intelligence and machine learning tools to detect suspicious and fraudulent transaction patterns, along with using network analytics to identify mule networks. The initiative aims to recover funds and prevent financial system misuse through better analysis and pattern identification by principal officers.
Under existing regulations, banks must file an STR when fraud is reported, but mandatory filing in every identified money mule account case leads to a pile-up of cases rather than actionable intelligence. As reported by The Economic Times, a bank executive noted that the existing mandate with penalty for non-filing leads to bank officials mostly passing on details rather than making detailed assessments. The government, along with the Reserve Bank of India (RBI), has conducted focused thematic assessments in major banks with high numbers of money mule accounts to assess system gaps.
Under existing RBI guidelines on 'Operation of Bank Accounts and Money Mules', if an account opened and operated is that of a money mule but STR was not filed by the bank, it constitutes a violation. According to The Economic Times, the issue has been brought to the attention of the banking sector regulator, the RBI. The government and RBI have already conducted focused thematic assessments in major banks to identify gaps in systems.
A parliamentary committee last month flagged systemic failures that enable laundering of crime proceeds through the formal banking system. As reported by The Economic Times, the committee recommended that the government and RBI should implement a 'Penal Framework for Negligent Branches' which penalises banks for hosting multiple mule accounts and holds them responsible for lapses in know-your-customer (KYC) compliance. The committee advocated for the Department of Financial Services and RBI to deploy an automated 24/7 API interface between reporting portals and Core Banking Systems for Golden-Hour fund recovery.