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Utilizing Artificial Intelligence in the Fight Against Fraud

FinCrime Insights Podcast #03

Rina-Maria Ingemannsen / June 12, 2024
Watch all episodes of the FinCrime Insights Podcast here

Nikolay Martyushenko has been working with artificial intelligence (AI) for the past eight years. In this episode, he speaks with John Erik Setsaas, Director of Innovation, about various forms of AI and how their combinations – along with human effort – are employed to detect and prevent different types of fraud.

There is a significant difference in how AI is used to detect Money Laundering versus Fraud.

“They are entirely different, if not opposite. Fraud often occurs in isolation when someone gains access to your card and drains it," says Martyushenko, who is the head of Data & AI at Tietoevry Banking, Financial Crime Prevention.

When you realize someone has taken your money, you go to the bank and report the theft.

“Eventually, we learn about all past instances of fraud, allowing us to train our AI models on them to detect new cases of fraud in real-time”.

Detecting Money Laundering is Challenging

On the other hand, a classic money launderer will never report themselves, and only a small percentage of money laundering is discovered. This provides very little training data – and far too little to develop a reliable model.

“Therefore, we must find alternative approaches. One method is to use AI to identify patterns in the data without initially linking it to money laundering. By connecting known launderers to others based on their collective behavior patterns, we can identify new launderers and then proceed with human-led investigations to determine their actual activities," explains Martyushenko.

Humans React Faster

Another difference between fraud and money laundering is that fraud is generally an isolated incident, whereas money laundering always involves more than one bank.

“Hence, we advocate for banks to collaborate with each other and allow us to train on their collective data sets”.

Martyushenko also notes that AI detects many activities that human-made rules miss.

“At the same time, we also know that human-made rules detect a significant amount of fraud that AI does not. AI and human approaches are quite complementary”, he asserts.

Watch and listen to the entire episode on how AI can be used to combat fraud and money laundering here.

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John Erik Setsaas
Director of Innovation, Financial Crime Prevention

With over 25 years’ experience in digital identity, John Erik Setsaas is a pioneer in this space. He has deep knowledge in the areas of digital onboarding, authentication, electronic signatures and seals, time stamping and digital identity wallet.

He is a prolific speaker at fintech industry events around the world.

Nikolay Martyushenko
Leader of the Financial Crime Prevention AI Team

Academic background including an MSci from the top college of University of Cambridge and a PhD from the NTNU, as well as valuable experience in both the execution and leadership of innovation in industry and academia. My strongest zeal is to build positive change and true understanding by carefully gathering and directing bright minds, exemplified by my efforts in fighting financial crime, viral pandemics, and microbial resistance.


Rina-Maria Ingemannsen

Marketing Communications Specialist, Financial Crime Prevention

John Erik Setsaas

Director of Innovation, Financial Crime Prevention

Nikolay Martyushenko

Leader of the Financial Crime Prevention AI Team

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