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Where to start with a data warehouse – a practical guide

Rethinking your fraud or AML stack? This guide explains why a data warehouse (or lakehouse) is now foundational for any fast-growing fintech or bank – what it is, when you’re ready, how it changes detection, investigations and governance, and five practical steps to get started.

When AI agents start acting – the risks we can’t ignore

AI agents are moving from answering questions to acting on our behalf – browsing, buying, emailing, even moving money. The potential is huge, but so are the risks. The challenge: building safety into every step.

The new face of fraud: why first-party risk is rising

First-party fraud is redefining financial crime. Unlike traditional outsider attacks, scams now involve manipulated or complicit customers. Card fraud is a data problem; account-to-account scams are a human one. The future lies in automation and integrated teams, turning new scam lessons into permanent controls for scalable, adaptive fraud defence.

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Related articles

Where to start with a data warehouse – a practical guide

When AI agents start acting – the risks we can’t ignore

The new face of fraud: why first-party risk is rising

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