An Approach to Recalibrate Anti Money Laundering System with Blockchain Technology

Money laundering remains a critical threat to worldwide financial systems, with conventional centralized anti-money laundering (AML) methods experiencing chronic shortcomings in efficacy and efficiency. This study proposes a new decentralized AML system deployed on the Ethereum blockchain that utilizes smart contracts, decentralized transaction monitoring, and artificial intelligence to revolutionize the AML ecosystem. Through the use of the intrinsic transparency and immutability properties of blockchain technology, our system enables automated compliance enforcement and tamper-evident financial records. The deployment uses Ganache as an Ethereum test network for debugging and smart contract simulation, with backend integration using Node.js for API management, MongoDB for data storage, and Python with bespoke AI modules for transaction analysis and suspicious activity detection. By thorough testing against legacy AML systems, our blockchain-enabled methodology shows direct improvements in detection success (92% as opposed to 78% for legacy systems), fewer false positives (5% as opposed to 18%), improved transparency (95% as opposed to 65%), and more effective regulatory compliance. This study adds to the development of AML best practices by formulating a platform that greatly enhances security, openness, and efficacy in the prevention of money laundering activities through innovative utilization of blockchain technology, smart contracts, and artificial intelligence.