THE IMPACT OF CYBERSECURITY AND FRAUD DETECTION IN BANKING INDUSTRY USING ARTIFICIAL INTELLIGENCE

The main purpose of this article is to explore the role of AI in the banking industry in regards to cybersecurity and fraud detection is its ability to enhance the detection and prevention of fraud. Real-time Detection: AI-based systems can analyse transactions online in real-time and track suspicious activities as they occur, allowing banks to respond to a potential threat quickly. Pattern Recognition: AI algorithms can recognize patterns and anomalies in large datasets that might indicate fraudulent behaviour. This helps in identifying fraud that might go unnoticed by traditional systems. Predictive Analytics: AI can predict potential risks by analysing historical data and trends, giving banks a proactive edge in preventing fraud. Scalability: AI systems can handle vast amounts of data and transactions, making them scalable and efficient for large banking institutions. Cost-Effectiveness: Over the years, the operational cost of fraud detection and cybersecurity would come down, and automation would take place with minimal human interference. Better Customer Experience: Reduced false positives and high accuracy in the identification of frauds are likely to make the customer experience smooth and secure. In essence, AI-driven cybersecurity and fraud detection systems help banks safeguard financial transactions, protect customer data, and maintain trust in the financial system.