Suspicious Transaction Detection In Bank Transactions Using Agentic AI
DOI:
https://doi.org/10.48047/eed97w67Keywords:
Suspicious Transaction Detection, Agentic AI in Banking, Financial Fraud Detection, AI-powered Fraud Prevention, Bank Transaction Anomaly Detection.Abstract
Banking fraud has become a serious issue, with financial institutions struggling to detect suspicious
transactions 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 and
efficiency. Agentic AI, which operates with more autonomy and adaptability than traditional AI models, can
analyze transaction patterns, detect anomalies, and make intelligent decisions in real time. The study
implements an AI-driven detection model using machine learning techniques and evaluates its performance on
a bank transaction dataset.
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