AI-Driven Approaches to Enhance Cybersecurity in Financial Transactions

A surge in digital monetary transactions has resulted in a rise in cyber threats on such platforms. Conventional security measures are slowly eroding and are, therefore, failing to a great extent in curbing these emerging risks. Artificial Intelligence (AI) holds out much promise toward robust cybersecurity through mechanisms with machine learning and anomaly detection techniques, especially natural language processing. This paper tries to explore technical insight into the AI-based framework, approaches, applications, benefits, issues, ethical concerns, and the way forward for the security of financial transactions.