The AI-Powered Cybersecurity: Identifying A Threats in Digital Banking

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.