Napier AI Urges Data Sharing to Combat Networked Financial Crime

Anti-money laundering systems have traditionally been built within individual financial institutions, with each firm developing models, setting rules and investigating alerts largely in isolation. Napier AI says that structure is increasingly mismatched with criminal networks that move funds across companies, jurisdictions and payment rails. Privacy restrictions, data-sovereignty requirements and tipping-off risks further limit information sharing, leaving the wider financial system vulnerable to weaknesses at any single institution.

On July 23, 2026, Napier AI’s Dr Janet Bastiman called for secure, cross-industry sharing of risk signals and eventually real-time network intelligence. Napier AI has worked with the UK Financial Conduct Authority, The Alan Turing Institute and Plenitude to build fully synthetic datasets from anonymised transaction patterns, allowing firms to train and refine detection strategies without exposing sensitive information. Bastiman also tested flow-based transaction modelling in the FCA’s Supercharged Sandbox. No investment or transaction value was disclosed.