Agentic AI systems now reason, plan, and act across financial crime investigations without waiting for human instruction. AI-generated fraud leaves fewer traditional red flags and fraud schemes that once required sophisticated networks, and significant resources, can now be executed at scale by a single bad actor with access to a laptop and an AI model.

This panel will discuss how financial institutions are rethinking their detection frameworks to distinguish legitimate activity from AI-generated fraud in real time and what it takes to build systems capable of keeping pace with threats that evolve faster than any static model can adapt.