As fraud evolves at a breakneck speed with sophisticated AI-powered attack vectors, static detection systems have proven inadequate against these dynamic and adaptive threats. This panel examines how agentic AI and intelligent orchestration platforms can revolutionize fraud prevention and improve customer experience by enabling real-time detection and intervention during active attack progression, rather than attempting to recover after the money has moved.

Fraudsters increasingly deploy sophisticated attacks that are capable of learning institutional patterns, adapting social engineering tactics mid-conversation, and coordinating attacks across channels. They modify their approach based on victim responses, can often bypass conventional rule-based defenses, and execute complex schemes with unprecedented speed. FIs face an arms race where defensive capabilities must match or exceed offensive AI sophistication.

Agentic AI enables a paradigm shift by continuously monitoring transaction flows, communication patterns, and behavioral anomalies while coordinating responses across security layers. These systems can detect subtle pattern deviations, identify coordinated attack campaigns in real-time, and automatically implement protective measures before funds transfer completion. Advanced orchestration enables seamless integration between fraud detection engines, customer authentication systems, and transaction processing platforms.

This engaging discussion will explore implementation strategies for agentic fraud detection, including machine learning model deployment, real-time decision architectures, and regulatory compliance considerations. As fraudsters weaponize AI capabilities, FIs must embrace agentic defense systems not merely as competitive advantages, but as essential safeguards for institutional survival and customer protection in an increasingly sophisticated threat landscape.