ANALYSIS OF PATENT DATA ON INNOVATIVE TECHNOLOGIES IN THE FIELD OF IDENTIFICATION, PREVENTION, AND COMBATING FINANCIAL FRAUD
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Abstract
The modern financial sector faces major challenges in the fight against fraud due to the growth of digital transactions, the complexity of criminal schemes and the development of cyber threats. In this regard, innovative technologies for detecting and combating financial fraud are becoming crucial for ensuring economic stability and trust in financial institutions. The purpose of the study is to analyze the patent landscape of innovative technologies aimed at identifying and combating financial fraud, money laundering, and money laundering.
The proposed analysis methodology is based on the integrated application of dynamic, thematic and subject analysis approaches. The results are based on the use of the online tool GetFocus, which is built on the basis of AI and provides access to the world's largest international patent databases. The results of the dynamic analysis demonstrated a relatively small number of patents in the context of the studied topics around the world (4,553), of which almost half (49.7%) were registered in 2023-2024.
This growth is explained by the intensification of cyber threats during the study period. The key thematic areas of patents were identified: machine learning, artificial intelligence, blockchain technologies, and predictive modelling. The geographical analysis showed that the leading countries in this area are the United States, China, and India, demonstrating the largest number of registered patents. The subject analysis has shown that the key patent holders are companies such as IBM Corp, Capital One Financial Corp, and Mastercard Inc., which are actively investing in innovative solutions in the field of prevention, identification, and counteraction to financial fraud. Promising areas of research include the study of patents on innovative technologies in the field of identification, prevention, and counteraction to fraudulent activities with cryptocurrency transactions; analysis of patent data by country and empirical assessment of the implementation of patented technologies in practice, and their alignment with existing regulatory requirements.
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