In an increasingly digitalized society, the cyber threats faced by banks have become more extensive and complex. At the same time, artificial intelligence has developed into a powerful and disruptive technology that can be used to strengthen cybersecurity and counter financial crime, among other things. The purpose of the study was to map how Swedish banks use AI to counteract cyber threats and financial crime, and what benefits and challenges this entails. The study is based on four qualitative interviews with bank officials specialized in cybersecurity or financial crime. The Technology-Organization-Environment framework is used to analyze the challenges and factors affecting the use of AI. The results show that AI models are used for several security purposes, such as preventing DDoS attacks, malware detection and identifying signs of financial crime. The main benefits of AI are the ability to analyze large amounts of data in real time and to identify patterns and anomalies that are difficult for the human eye to see. However, there are a number of challenges for Swedish banks in the adoption and use of AI related to regulation, ethics and competence.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-523498 |
| Date | January 2024 |
| Creators | Ferlander, Ludvig, Gustavsson, Linus |
| Source Sets | DiVA Archive at Upsalla University |
| Language | Swedish |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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