{"id":27356,"date":"2025-10-08T09:23:49","date_gmt":"2025-10-08T02:23:49","guid":{"rendered":"https:\/\/innotech-vn.com\/?p=27356"},"modified":"2025-10-09T16:24:13","modified_gmt":"2025-10-09T09:24:13","slug":"5-trends-shaping-the-future-of-fraud-detection-using-ai-in-banking","status":"publish","type":"post","link":"https:\/\/innotech-vn.com\/vie\/5-trends-shaping-the-future-of-fraud-detection-using-ai-in-banking\/","title":{"rendered":"5 trends shaping the future of fraud detection using AI in banking"},"content":{"rendered":"

The global scale and sophistication of banking fraud are increasing at an alarming pace. This poses an urgent requirement for banks to strengthen their capabilities in fraud detection and prevention. As a result, implementing a fraud detection system using AI in banking<\/strong> has become a smart and forward-looking choice. In this article, we will explore five key trends shaping the future of AI-driven fraud detection in the banking industry.<\/p>\n

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\u00a01. The current state of banking fraud<\/span><\/h2>\n

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In today\u2019s 4.0 era, we are witnessing a continuous rise in high-tech fraud and increasingly sophisticated schemes in the financial and banking sector.<\/p>\n

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According to Business Standard<\/em><\/a> (India): Banks in the country recorded as many as 36,075<\/strong> fraud cases in the 2024 fiscal year. Losses amounts to 26,127<\/strong> crore rupees. Notably, more than 89%<\/strong> of the reported fraud value actually originated in previous years, highlighting a significant delay in detection.<\/p>\n

\"\u1ea2nh<\/p>\n

Banking fraud occurs across many countries and regions.<\/em><\/p>\n

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According to the Global Financial Fraud Assessment<\/em> (INTERPOL<\/a>, May 2024), in the Americas, police carried out the arrest of more than 100 individuals and froze 200 accounts involved in fraud in 2023. Europe was recorded as the region with the highest rate of financial fraud, with more than 80% of cases involving technology.\u00a0<\/span><\/p>\n

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This situation shows that not only a single country or region, but the entire world is facing economic losses and challenges to customer trust caused by the negative impacts of banking fraud.<\/p>\n

\u00a02. Why has AI-based fraud detection in banking become a trend?<\/span><\/h2>\n

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With the pressing situation mentioned above, traditional fraud control methods are gradually proving to be outdated and slow. Artificial intelligence has already become a powerful weapon for fraudsters. Therefore, applying AI in banking fraud detection<\/strong> is no longer just an option but has become an inevitable trend. At present, many technology companies are providing AI software development services<\/a> for the banking industry. This clearly demonstrates that the adoption of AI in the BFSI sector is a continuously growing trend.<\/p>\n

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Fraud detection using AI in banking<\/strong> brings many benefits, such as: <\/span><\/p>\n