Year: 2025
Type: article
Abstract: With the rapid adoption of digital banking, cybersecurity threats have also evolved, posing significant risks to financial institutions and their customers. AI-powered cybersecurity solutions have emerged as an effective approach to detect and mitigate cyber threats in real-time. This paper explores the role of artificial intelligence in enhancing digital banking security, focusing on anomaly detection, fraud prevention, and threat intelligence. We analyze how machine learning algorithms, behavioral analysis, and predictive analytics contribute to securing financial transactions. Furthermore, this research highlights the challenges and limitations of AI-driven security systems and proposes advanced solutions to strengthen digital banking defenses.
Source: Journal of engineering sciences.
Authors: BODIGARI MADHURI, SMT.A.KALPANA
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409206759