Generative AI-Driven Solutions for Enhancing Security and Efficiency in Banking

Paper ID: EIJTEM_2026_13_1_70-81

Author's Name: Siva Hari Naga Shashank Varagani

Volume: 13

Issue: 1

Year: 2026

Page No: 70-81

Abstract:

The global market for generative artificial intelligence (Gen AI) is growing rapidly, with a value of $712.4 million in 2022 and an expected increase to $12,337.87 million by 2032, having a profound effect on the banking industry. The capacity to analyze data in real-time and discover anomalies is driving this expansion, as is its ability to improve security, operational efficiency, and consumer experiences. Personalized financial recommendations, real-time monitoring, automated loan approvals, market trend analysis, and credit risk prediction are some of the key uses of Gen AI in banking. Gen AI makes proactive fraud detection, effective risk management, and tailored services possible by processing massive information. Automation of mundane operations and integration with other systems, such as CRM and regulatory compliance procedures, further improve operational efficiency. In spite of these advantages, there are still some drawbacks to using Gen AI. These include algorithmic biases, privacy issues, meeting legal requirements, and finding a balance between being responsive in real-time and reducing false positives. Gen AI is seen by financial institutions as an essential instrument for digital transformation, security, and flexible service delivery that meets customers' changing expectations. In conclusion, the use of Gen AI by banks has the potential to transform conventional banking operations, enhance decision-making, and equip institutions to thrive in today's data-driven and digital economy.

Keywords: Gen AI, customer relationship management (CRM), banking operations.

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