Insights into tomorrow's fraud landscape
Explore evolving fraud insights from our expert articles, real‑world experience from our Defence Centre and our latest Payment Fraud Report. Here you'll learn how fraud impacts cards, accounts and digital wallets - and how Tieto Banktech helps banks stay ahead through its unique Nordic insight.
Read our fraud articles
5 trends redefining payment fraud
Payment fraud is entering a new phase. Gunnar Koren, Head of Financial Crime Prevention at Tieto Banktech, shares 5 emerging trends – from long‑term social manipulation to AI‑driven deception.
Meet the Northern fraud fighters
At Tieto Banktech’s Defence Centre in Mo i Rana, fraud specialists work around the clock to stop payment fraud before it reaches bank customers.
Meet Team Leaders Thomas Følling and Silje Lilly Fjellstad who monitor billions of transactions, call end-customers in critical moments and fight an ever‑evolving criminal landscape – 24 hours a day, 365 days a year.
There's more to come
Explore fraud insights
Fraud tactics adapt to people
Fraudsters tailor their manipulation to different age groups.
People aged 60 to 79 account for more than 30% of social‑manipulation cases, where trust is gradually built – and misused – over time.
At the same time, young adults remain the most common targets for money‑mule recruitment, often without realising the risks they are being drawn into.
Understanding these patterns helps financial institutions detect suspicious behaviour earlier and support individuals before financial harm occurs.
Source: Tieto Banktech's Payment Fraud Report 2026
Money mules fuel cross-border fraud
More than 50% of identified money‑mule cases involve people aged 20 to 29, many of whom are recruited through emotional pressure or false promises of easy income.
Fraud networks use these individuals to split transactions into smaller amounts and move funds across multiple countries, making the money flow far harder to detect.
This shift shows how fraud is becoming more organised, more global, and increasingly dependent on social influence.
Source: Tieto Banktech's Payment Fraud Report 2026
Fake online shops: harder to detect
AI-driven fake-shop networks expanded significantly in 2025. Fraudulent stores now closely mimic real retailers, follow seasonal shopping patterns and can reappear within hours after being taken down.
Last year, our monitoring services blocked 2.87 million transactions linked to fake online shops, preventing nearly €226 million in attempted fraud.
These developments show how digital commerce has become a prime target – and why banks increasingly rely on strong merchant-level controls and real-time monitoring to stay ahead.
Source: Tieto Banktech's Payment Fraud Report 2026
Our fraud specialists: Fraud prevention that makes a measurable impact
Every day, the fraud experts from our Defence Centre combine real‑time monitoring, behavioural insight and human judgement to protect banks and their customers across Europe.
In 2025, our team stopped high‑value fraud attempts before they reached end users – and provided direct support when clarity, reassurance and rapid action mattered most.
- 90% detection rate across cards and accounts
- €1.1+ billion in attempted fraud prevented
- 76% of card‑fraud attempts resulted in zero financial loss for end customers
- 340,000+ customer calls made to provide immediate support
Deep dive into our Payment Fraud Report 2026
Payment Fraud Report 2026
Gain deeper insight into the fraud landscape with findings drawn from more than 4.9 billion monitored transactions across Europe.
The report highlights the key patterns shaping 2025 – including long‑term, human‑centred manipulation, the rise of highly convincing fake online shops, the growth of international mule networks, and the expanding role of AI in both fraud and prevention.
Latest additions to our solutions
Money Mule Monitoring (MMM)
Money Mule Monitoring (MMM) is a real‑time solution that helps banks detect and disrupt money‑mule activity before financial damage occurs. By monitoring transactions as they happen, MMM identifies suspicious behaviour linked to the recruitment and use of money mules, enabling early intervention and rapid response.
The solution gives banks full flexibility: transactions can be blocked or flagged in line with internal policies, with immediate alerts sent for investigation. By stopping funds from being channelled through criminal networks, Money Mule Monitoring protects vulnerable customers, reduces financial crime exposure and strengthens the bank’s overall compliance and risk posture.
Manipulation Risk Monitoring (MRM)
Manipulation Risk Monitoring (MRM) is a real‑time, behaviour‑based monitoring service designed to detect and prevent payment fraud driven by social engineering and customer manipulation. By analysing behavioural patterns and transaction signals in high‑risk categories, MRM identifies end-customers who may be acting under coercion or deception — even when payments are initiated by the customer themselves.
The service enables early detection of manipulation risk, allowing banks to intervene before fraudulent transactions are completed. This helps protect vulnerable customers, reduce financial losses, and strengthen the bank’s overall fraud and compliance posture through more proactive and targeted controls.
Examples of fraud prevention in action
Account Fraud Monitoring (AFM)
Account Fraud Monitoring (AFM) is a realtime solution that helps banks detect and respond to fraudulent account activity before financial losses occur. By monitoring account transactions through open banking APIs, selfservice channels, and custom integrations, AFM identifies suspicious behaviour as transactions are initiated, enabling early, riskbased intervention.
The solution empowers banks to respond flexibly: transactions can be stopped or paused, with Strong Customer Authentication (SCA) applied where needed and exemptions used where possible. Account Fraud Monitoring reduces financial losses, lowers payment friction, and strengthens the bank’s overall fraud prevention and risk posture.
Card Transaction Monitoring (CTM)
Card Transaction Monitoring (CTM) is a real‑time fraud detection service that monitors card transactions to identify and stop suspicious activity as it occurs. By analysing transaction patterns, behavioural signals and contextual data, CTM assesses risk continuously and intervenes when activity deviates from a cardholder’s normal behaviour.
The service enables banks to prevent unauthorised transactions, minimise financial losses and protect customers without unnecessary disruption. Combined with advanced analytics and adaptive decisioning, the solution delivers effective fraud prevention at scale while maintaining a smooth customer experience.
Contact us
Let's meet and discuss your needs
If your bank requires support in strengthening its fraud‑prevention capabilities, please contact Clarence Therstam at Tieto Banktech to arrange a consultation.
Our new name honours our Nordic roots, but our focus extends far beyond. Tieto means knowledge. We turn that knowledge into results that matter.
