Trust is not given. It is engineered. In fraud prevention, that means building systems where the people responsible for outcomes, fraud teams, risk officers, compliance leads, can stand behind what an automated system decides, even when it decides in milliseconds and the consequences are immediate.

The promise of real-time fraud prevention in an agentic world is compelling: systems that detect, decide, and act without waiting for human instruction, at the speed of payment rails, at a scale no human team could match. But speed without confidence is a liability, not an advantage. This panel examines what it actually takes to engineer the trust that makes autonomous fraud systems safe to deploy and safe to rely on.

Panelists will draw on firsthand experience to address the questions practitioners are wrestling with now: how to validate that an autonomous system is doing the right thing when there is no time to check, how to build and maintain human confidence in a system that adapts, how to make explainable decisions when a regulator or a customer asks why, and what happens to operational accountability when the system is the decision maker.

Key themes include:

● What engineering trust means in practice when automated systems are making consequential fraud decisions

● How FIs validate performance and maintain confidence in autonomous systems acting in real time

● The feedback loops between system behavior and human oversight that keep agentic fraud tools on track

● Where trust breaks down and what the recovery looks like

● How regulatory accountability and customer obligations translate into system design requirements