IT Smart Systems, Feedzai Partner on AI Fraud Prevention

What happened

IT Smart Systems has partnered with Feedzai to bring AI-native fraud prevention capabilities to digital banking, according to a report from FF News. The tie-up pairs Feedzai's fraud detection and risk-decisioning technology with IT Smart Systems' regional delivery and integration capabilities, aimed at helping banks secure digital transactions against increasingly sophisticated fraud tactics.

The partnership positions AI-driven, real-time fraud monitoring as a core layer of digital banking infrastructure rather than a bolt-on compliance tool, reflecting a broader shift among financial institutions toward embedding fraud prevention directly into the customer journey.

Why it matters

Fraud prevention has moved from a back-office risk function to a front-line experience issue. As digital banking volumes grow, the systems that flag suspicious activity increasingly determine whether a transaction completes smoothly or triggers friction, delay or a false decline — outcomes that directly shape customer trust and retention. Partnerships like this one signal that banks are looking to AI-native platforms that can assess risk in real time without slowing down legitimate transactions.

For technology and transformation leaders, the deal is also a reminder that fraud prevention infrastructure is becoming a differentiator in its own right. Institutions that can detect and stop fraud with minimal disruption to genuine customers are better placed to compete on convenience as well as security — two attributes that digital-first customers now expect simultaneously rather than as a trade-off.

The Renascence take

Fraud prevention is too often treated purely as a security or compliance investment, when in practice it is one of the most consequential touchpoints in the digital banking journey — invisible when it works, and reputation-damaging when it doesn't.

Most organisations still measure fraud systems on detection rates alone, missing the experience cost of false positives — the legitimate customer wrongly blocked, delayed or forced through extra verification. The real test of an AI-native fraud platform isn't just how much fraud it stops, but how invisibly it does so for everyone else. Banks adopting these tools should insist on tracking customer friction and false-decline rates alongside fraud-catch metrics, not after the fact.