Agentic AI-Enabled Fraud Prevention: Multi-Agent Collaboration Models for Real-Time Threat Detection and Response in Digital Banking
Keywords:
Agentic AI, Fraud Detection, Multi-Agent Systems, Digital Banking Security, Real-Time Threat Detection, Collaborative AI Models, Autonomous Agents, Financial Cybersecurity, AI-Driven Fraud Prevention, Behavioral Anomaly Detection, Distributed Intelligence, Threat Response Automation, Adaptive Risk Management, Secure Transaction Monitoring, Explainable AI (XAI) in Finance.Abstract
In the era of digital banking, ensuring the security and integrity of financial activities has become paramount. Financial frauds,
particularly in online banking and credit card transactions, pose serious threats to the global economy and the financial well-being
of individuals. Billions are lost annually due to fraudulent activities
References
Agentic AI, Fraud Detection, Multi-Agent Systems, Digital Banking Security, Real-Time Threat Detection, Collaborative AI Models, Autonomous Agents, Financial Cybersecurity, AI-Driven Fraud Prevention, Behavioral Anomaly Detection, Distributed Intelligence, Threat Response Automation, Adaptive Risk Management, Secure Transaction Monitoring, Explainable AI (XAI) in Finance. Leveraging Artificial Intelligence for Secure and Efficient Payment Systems: Transforming Financial Transactions, Regulatory Compliance,
and Wealth Optimization
