Suspicious Transaction Detection In Bank Transactions Using Agentic AI

Banking fraud has become a serious issue, with financial institutions struggling to detect suspicioustransactions effectively. Traditional fraud detection methods often fail due to evolving fraudulent techniques.This paper explores the use of Agentic AI to identify suspicious bank transactions with greater accuracy andefficiency. Agentic AI, which operates with more autonomy and adaptability than traditional AI models, cananalyze transaction patterns, detect anomalies, and make intelligent decisions in real time. The studyimplements an AI-driven detection model using machine learning techniques and evaluates its performance ona bank transaction dataset.