Our Ideas

AI in AML: why you need a Jeeves, not an autopilot

AI-generated AML rules sound like the perfect shortcut: fewer tickets, faster tuning, a neat “AI-powered compliance” story. But autogeneration can create a responsibility gap – analysts approve rules they can’t truly explain or debug. AML doesn’t need an autopilot. It needs a Jeeves – AI that prepares, nudges, and attributes, strengthening human judgement and audit confidence.

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.

How a payment processor tripled its fraud detection rate

To outpace larger competitors, a global payment processor partnered with Fortify to build a superior fraud detection solution. dramatically improved model performance and accelerated their experimentation times – tripling fraud detection effectiveness and cementing their reputation as a best-in-class payment processor.

The 3x speed advantage: strategy to execution without the noise

A global fintech needed to move fast – tackling growing fraud and compliance risk without ripping out its existing systems. Fortify helped them shift from static rules to adaptive controls, delivering sharper fraud defences, faster compliance, and real business outcomes – all within their existing tech stack and timelines.

Building an AI Agent to detect risky merchants at scale

To stay ahead of fraud, a global payment processor partnered with Fortify to build a custom AI agent that automated risky merchant detection – improving accuracy, speed, and operational efficiency.

How Fortify transformed a fintech leader’s AML programme

A global fintech turned to Fortify for an urgent AML overhaul. It needed to transform its compliance capabilities fast. Fortify delivered a custom solution that restored operations, improved alert quality, and unlocked growth – all without replacing existing technology.

Fortify joins the Snowflake Startup Accelerator

Fortify AML helps fast-growing banks and fintechs design and test rules faster, resolve alerts quicker, and export audit-ready evidence on demand – all within their own Snowflake environment.

Our story: where advanced technology meets expert implementation

Today we’re announcing the next chapter for Fortify. What began as a consultancy is now also a product company – delivering AI-powered systems of action. By combining advanced technology with expert-led implementation, we help fraud teams prevent more fraud, save time, and act with clarity and confidence.

The Register: Deepfake detectors are slowly coming of age, at a time of dire need

AI-powered deepfakes are making fraud harder to detect, with realistic fake videos, voices, and images bypassing traditional checks. Experts, including Fortify’s Karthik Tadinada, warn that even strong detection tools leave gaps. Financial institutions must pair technology with robust verification and monitoring to counter this rapidly growing threat.

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