Abstract

The use of fintech is getting closer to everyday life. However, in this case the use of fintech is also getting closer to cyber threats. Cybercrime ranks highest in terms of threats to the use of technology. This indicates user security which can be a target for cybercriminals. To take precautions, companies must carry out a risk assessment in order to minimize cyber problems that can occur. The things that will be discussed in this study are related to what risks can occur in using fintech and what are the frameworks that can be a tool for risk assessment. Through this research, a total of 31 articles will be reviewed from selected databases that already have a reputation for the quality of their articles. The results show that cyber-related risks can be categorized based on the type of crime. Overall, the user acceptance measurement model for Fintech serves to assist developers and enterprises in understanding, predicting, and increasing user acceptance of Fintech solutions, as well as informing the development of effective product strategies and improvements. There are several models in this review that measure the impact of cyber risk for fintech. The models that can be used as a measure of technology adoption for Fintech users are the Unified Theory of Acceptance and Use of Technology (UTAUT), the Protection Motivation Theory (PMT), the theory of the Sustainable Information Society (SIS), Theory of Reasoned Action (TRA), and Theory of Planned Behavior (TPB). To overcome this is with a risk assessment that can be carried out using the COBIT framework, ITIL, ISO 27001, ISO 27002, ISO 27003, ISO 27005, ISO/IEC 155044, NIST, FMEA, and the OCTAVE Allegro Framework.

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