TrustSphere
 

Graph analytics has moved from an experimental capability to a core building block of modern financial crime platforms. The reason is structural. Money laundering, scam networks, mule cash-out operations and sanctions evasion all manifest as networks rather than as individual transactions, and network analysis produces signal that transaction-level rules cannot. In this article, we describe how TrustSphere approaches the design of the graph layer inside a production-grade fin

Hong Kong's Stablecoin Ordinance has moved the territory from permissive experimentation to one of the world's most detailed regulatory regimes for fiat-referenced stablecoin issuance. The HKMA now licenses issuers, sets reserve and redemption standards, and imposes direct financial crime obligations on a new class of regulated entity. For global banks, payment providers and fintechs with Asia-Pacific operations, the ordinance is not merely a local compliance exercise. It cre

Handling politically exposed persons in emerging markets remains one of the most nuanced challenges in financial crime compliance. List-based PEP screening tools have become commoditised, yet enforcement actions continue to highlight cases where screening was technically completed but the underlying risk was not meaningfully assessed. The gap is not the technology. The gap is the interpretive judgment that connects a name match to an understanding of the political, legal and