Criminals are using cryptocurrency to launder money across different blockchains, and current detection tools are failing to keep up. This project builds a system that tracks funds in real time, using AI and machine learning to spot suspicious transactions as they happen—including those that move between different blockchains, a blind spot for existing anti-money laundering tools. The system is designed to adapt as laundering tactics evolve, reducing the flood of false alarms that plague current approaches. If successful, it would give financial institutions, cryptocurrency exchanges, and regulators like the Financial Conduct Authority a scalable, automated way to meet compliance requirements. The immediate impact is on the infrastructure that underpins digital finance: the transaction monitoring systems that quietly flag illicit flows funding terrorism, organised crime, and fraud. By closing a critical gap in cross-chain detection, the project strengthens the UK’s financial cybersecurity without requiring users to change how they transact.
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As financial crime becomes increasingly sophisticated, traditional anti-money laundering (AML) and counter-terrorist financing (CFT) systems struggle to keep pace, particularly in decentralized finance (DeFi) and blockchain transactions. This project aims to enhance the UK's cybersecurity framework by developing an advanced detection system that strengthens financial crime prevention in digital asset markets. Our approach combines real-time fund tracing, AI & machine learning, and transaction analysis techniques to detect suspicious activity with greater accuracy and efficiency. Unlike traditional systems that may be bypassed by evolving criminal tactics, our solution adapts to new laundering strategies, reducing false positives and improving overall detection effectiveness. A key feature of our system is the ability to monitor cross-chain transactions, addressing a critical gap in current AML tools. This innovation helps financial institutions, cryptocurrency exchanges, and regulatory bodies better meet compliance requirements such as the ones set out by the Financial Conduct Authority (FCA). By offering automated, scalable AML tools, this project enhances the resilience of the UK's financial infrastructure against cyber-enabled financial crime. It directly supports the UK government's priorities on cyber resilience and financial security by preventing illicit transactions that fund terrorism, organized crime, and fraud. Additionally, by improving compliance with FCA and GDPR regulations, it helps UK-based exchanges secure regulatory approval and maintain operational trust. In the long term, this project will strengthen the UK's position as a global leader in secure, compliant digital finance. By integrating innovative AML technology into the country's cybersecurity ecosystem, we contribute to ensuring financial stability, regulatory compliance, and trust in digital financial services, ultimately promoting a safer and more transparent financial landscape.
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