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Policy2026-05-11 · source-backed
The Monetary Authority launched a Proof-of-Value program training AI/ML models on live transaction data to detect scams. Bank account numbers are hashed so only originating institutions can identify accounts. Collaboration with Singapore Police Force, with plans to expand after initial assessment.
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(Finextra) Scope, data exposure and affected institutions weren't disclosed in the initial report. The blast-radius question here sits downstream, not at Jack Henry. ---
A group of banks said they couldn't migrate from unstructured to structured postal addresses in time. Structured addresses are the prerequisite for automated sanctions screening and any downstream ML on payment data, so the slip pushes back a dependency for a lot of fintech au...
EricaAssist delivers client insights in seconds to internal agents, explicitly augmentation rather than customer-facing replacement. At that headcount, productivity effects should show up in operating metrics within a few quarters, which makes it one of the few deployments lar...
Microsoft Ireland Operations, Google Cloud EMEA, Amazon Web Services EMEA, and Oracle Corporation UK are now supervised by the Bank of England, the PRA, and the FCA. They must participate in resilience testing, run regular self-assessments, and notify regulators of significant...
The report flags emotional-dependency cultivation and "capability deception," arriving right as the compliance deadlines above land. Expect this to feed regulatory scrutiny of consumer-chatbot UX. It connects to the Bank of England's warning about a deepfake of its governor pu...
One Zero announced an initiative letting customers pull their own financial information into the conversational environments they already use, starting with ChatGPT and Claude and adding more later. A bank voluntarily exposing account data to third-party general-purpose agents...
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