Our Ideas

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.

User Behaviour Analytics in fraud detection: bridging the gap between payments and cybersecurity

Originally developed for an audience in the Payments Village at DEFCON, this article by Fortify founder Karthik Tadinada explores how User and Entity Behaviour Analytics (UEBA) can identify anomalies in user and device behaviour, providing critical insights for fraud prevention. By analysing behavioural patterns, UEBA helps detect suspicious activities in real-time. This approach is particularly useful in payment fraud detection - and also in cybersecurity - where human-driven events trigger responses in decision systems, offering a powerful tool for mitigating unwanted behaviour.

How to calculate ROI on fraud prevention – and why most teams get it wrong

Proving ROI in fraud prevention is tough – but essential. This article offers fraud leaders a clear, practical framework for measuring real impact, including hard-to-quantify areas like brand trust and false positives. It also equips you with smarter questions to ask vendors and guidance for translating fraud outcomes into board-level business value.

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.

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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