This Future of Financial Intelligence Sharing (FFIS) <> discussion paper provides an overview of developments in the field of privacy preserving analytics and, for the first time, publishes eight case studies of how this technology is being used to tackle financial crime, updated to June 2020.

Collectively, the case studies demonstrate how financial institutions are exploring and exploiting advances in this field of cryptographic technology to enable analysis of data from across multiple participating organisations to inform financial crime risk awareness, without the need for those organisations to share underlying sensitive data.

The growth of privacy preserving analytical capabilities should encourage decision-makers to provide clarity about what specific analysis they wish to permit and enable across the financial system – and what contributing information they wish to remain undisclosed within that process, and by whom. It is intended that this paper supports dialogue and feedback related to the implications of, and appropriate framework for, the growth of privacy preserving analytics in the field of anti-money laundering and financial intelligence.

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