Tieto Banktech Layers AI Defence Against Payment Fraud

Why It Matters

By intercepting fraud earlier and at scale, Tieto’s AI‑human hybrid reduces loss exposure and raises the security baseline for Nordic banks, setting a template for wider European adoption.

Key Takeaways

• TEM stops 70‑80% of token fraud before card activation.
• CTM monitors purchase patterns to flag anomalous transactions instantly.
• Fraud Explore adds LFM‑based AI agents atop existing rule engines.
• Model draws data from most Norwegian banks and many Swedish institutions.
• Human analysts retain final decision authority in AI‑augmented workflow.

Pulse Analysis

Artificial intelligence has become a cornerstone of modern fraud prevention, but banks are learning that a single algorithm rarely suffices. A layered strategy—combining predictive models, behavioural analytics, and continuous human review—offers the speed of machines while preserving the nuance of expert judgment. This hybrid approach mitigates false positives, accelerates case handling, and aligns with regulatory expectations that human accountability remain central to financial crime controls.

Tieto Banktech’s latest suite exemplifies that philosophy. The Token Enrolment Monitoring (TEM) tool intercepts 70‑80% of token‑based fraud attempts before a digital wallet is even activated, effectively nipping threats in the bud. Card Transaction Monitoring (CTM) adds a behavioural lens, flagging out‑of‑pattern purchases in real time. The newly introduced Fraud Explore leverages the company’s proprietary Large Financial AI Model, with large language model agents that surface insights, suggest assessments, and automate routine tasks—all while co‑existing with legacy rule‑based systems. By aggregating fraud patterns from the majority of Norwegian banks and a substantial portion of the Swedish market, the platform creates a shared intelligence pool that benefits all participants.

The broader impact extends beyond the Nordics. As regulators tighten anti‑money‑laundering and fraud‑prevention standards, solutions that blend AI efficiency with human oversight are likely to become the industry benchmark. Financial institutions that adopt such multi‑layered models can expect lower loss ratios, faster response times, and a competitive edge in customer trust. Moreover, the data‑sharing framework pioneered by Tieto could inspire cross‑border collaborations, accelerating the evolution of a more resilient, AI‑enhanced financial ecosystem.