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Is your FinTech’s fraud stack already obsolete?
The fraud landscape confronting UK FinTechs has shifted dramatically. Synthetic identity fraud, account takeover attacks, mule accounts and AI-generated documentation now dominate a threat...
Sherlocq brings compliance AI into Claude and ChatGPT
Compliance professionals are not short of tools. If anything, they have too many. A screening platform here, a sanctions portal there, regulatory updates, case...
Why EU payments firms can’t afford a wait-and-see approach
European payments firms are confronting a rare convergence of regulatory pressures, and most compliance teams are being asked to absorb all three simultaneously. The...
The KYB false positive problem compliance can’t ignore
False positives are an inescapable feature of know-your-business (KYB) screening. When a compliance team runs a company and its ultimate beneficial owners (UBOs) against...
Banks’ false positive trap is costing more than you think
Something quietly broken sits at the heart of financial crime compliance at most major banks: the screening systems are working perfectly, and that is...
KYC is broken. Here’s what’s replacing it
Traditional know-your-customer compliance is no longer struggling to keep pace. It is collapsing under the weight of its own limitations. Rising regulatory demands, increasingly...
Muinmos puts the law at the heart of client onboarding
Client onboarding has long been viewed as a regulatory necessity, but leading firms are increasingly treating it as a competitive advantage. By combining KYC,...
How end-to-end AML software is reshaping risk teams
Compliance officers have long operated in a world of too many systems and too little time. Transaction monitoring sits in one platform, KYC data...
Why multi-jurisdiction AML compliance is broken
Picture the scene: a financial institution is onboarding a new corporate client with operations spanning the UAE, the UK, and the EU. Before any...
Why siloed risk scoring leaves firms dangerously exposed
Financial crime does not respect boundaries. Customer risk, product risk, channel risk, jurisdictional exposure, behavioural signals, data quality and control effectiveness are not discrete...