Tieto Banktech’s Financial Crime Prevention (FCP) is deploying a multi-layered artificial intelligence strategy to intercept financial crime in real time while keeping human decision-making at its centre.
The division’s approach combines AI-driven detection, real-time risk assessment and human oversight across several distinct layers. Its Token Enrolment Monitoring (TEM) system targets card fraud at the point of digital wallet enrolment, while Card Transaction Monitoring (CTM) analyses individual purchasing behaviour, including amounts, timing and location, to flag deviations before losses occur.
According to the company, TEM alone intercepts between 70% and 80% of token fraud attempts before the cards in question are ever activated.
A newer development is Fraud Explore, built on Tieto Banktech’s own Large Financial AI Model (LFM). Designed to strengthen real-time fraud detection across the Nordics and, eventually, further afield, the solution works alongside existing rule-based systems rather than replacing them.
LLM-based AI agents sit on top of this financial model, forming what FCP describes as the next generation of case handling, structuring information, suggesting assessments, automating repetitive tasks and delivering real-time support to case handlers.
Active in AI-powered fraud prevention since 2018, Tieto Banktech’s FCP unit draws on fraud pattern data from most Norwegian banks and a significant share of the Swedish market.
Tieto Banktech’s Financial Crime Prevention division, Head of Data & AI Nikolay Martyushenko said, “In fraud prevention, we use AI strategically – where it has the greatest effect. At the same time, people are always in control.”
Martyushenko added, “When a pattern emerges at one bank, it can offer vital protection to others. By sharing insights across institutions, we create a powerful defence against increasingly coordinated and technologically advanced crime.”
For more insights, read the full story here.
Copyright © 2026 FinTech Global
Copyright © 2018 RegTech Analyst
