ITSS, Feedzai partner on AI fraud prevention for digital banking

What happened

IT Smart Systems (ITSS) has entered a strategic partnership with Feedzai, a specialist in AI-native financial crime prevention, to bring together Feedzai's fraud-detection technology with ITSS's experience in integrating and delivering digital banking systems. The tie-up pairs an AI-driven risk engine with an implementation partner that works directly with banks on rolling out and embedding digital services.

Under the arrangement, ITSS will apply its delivery capabilities to help financial institutions adopt Feedzai's platform within their existing digital banking infrastructure, with the stated aim of strengthening fraud prevention as part of broader digital banking rollouts.

Why it matters

Fraud prevention has become a core component of digital banking rather than a bolt-on security layer, and this partnership reflects a wider industry pattern: AI vendors pairing with regional systems integrators to get sophisticated risk models embedded into live banking environments faster. For banks, the value is less about the algorithm in isolation and more about how smoothly it is woven into onboarding, payments and account-servicing journeys without introducing friction or false declines.

For leaders overseeing digital transformation programmes, the announcement is a reminder that AI capability and delivery capability are increasingly bundled together as a single proposition. Banks evaluating fraud tools are being asked to assess not just detection accuracy, but how quickly and cleanly a vendor-integrator pairing can operationalise that detection inside real customer touchpoints.

The Renascence take

Fraud-prevention partnerships are routinely pitched as a security story, but the real test is experiential: does the system catch bad actors without punishing good customers with delays, step-up authentication fatigue or wrongful declines.

The announcement says little about how this partnership will be judged by the people who actually feel its effects — customers hitting false positives at checkout, or contact-centre agents fielding complaints about blocked transactions. The behavioral reality of fraud prevention is a trade-off between risk appetite and friction tolerance, and that trade-off is a design decision, not just a technical one. A customer-obsessed bank adopting this kind of stack should insist on shared service-level metrics with its integrator and vendor — not just detection rates, but false-positive rates, resolution times and customer-reported friction — before calling the rollout a success.