Artificial intelligence is becoming a key tool in the fight against financial fraud
Banks and tech companies are increasingly employing artificial intelligence to identify suspicious transactions. These technologies help more effectively identify fraud and ensure financial security.
Financial fraud is becoming one of the main threats to the banking sector, and leading players in the financial industry are actively deploying artificial intelligence (AI) to detect it. For example, PayPal uses behavioral analysis to detect unusual spending, while Visa employs deep learning technologies to prevent fraud before payment authorization. In Ukraine, the FinTech sector is also actively integrating AI for financial transaction protection.
Intelligent fraud detection systems have a multi-level structure, including data collection and preparation, model building and training, as well as actual model deployment with instant risk assessment. They combine transactional data, user profiles, geolocation, and other parameters to detect atypical actions and hidden connections. The more fraud cases the system processes, the more accurately it learns to recognize new schemes.
Various AI technologies are utilized to combat fraud. Machine learning models analyze historical transactions to study fraud patterns. Graph neural networks identify links between accounts to detect fraudulent groups. Behavioral analysis evaluates patterns of user activity, while natural language processing helps identify phishing attacks in emails and chats.
AI technologies in FinTech have already found applications in various segments of the financial industry, including banking transactions, cryptocurrency platforms, and e-commerce. For example, AI-powered automated chatbots can effectively detect incorrect customer requests.
According to IT Ukraine, about 90% of FinTech companies worldwide are already using AI for fraud detection automation. The global AI market for combating financial fraud is expected to grow to 108 billion USD by 2033. Along with the increasing capabilities of AI, new challenges arise, requiring transparency and ethical use of technologies in the financial sector.
| Year | Market Volume ($ billion) |
|---|---|
| 2023 | 12.1 |
| 2033 | 108 |
