Artificial intelligence is changing both sides of the financial crime equation. Criminal networks can exploit AI to scale scams, impersonation and increasingly sophisticated deception, while financial institutions are exploring AI-powered intelligence, investigation and intervention.

The next frontier is agentic AI: systems that can coordinate tasks, gather evidence, connect signals across fragmented data and support complex investigations. But greater autonomy also brings difficult questions about trust, accountability, explainability, customer outcomes and regulatory expectations.

Bringing together leaders from financial crime prevention, financial services and technology, this panel will examine where AI is delivering meaningful value today, where agentic AI may take us next, and which decisions must remain under clear human control. We will explore practical use cases across fraud, AML and sanctions, the emerging AI-versus-AI threat landscape, and the governance needed to scale innovation safely.

Join us for a candid discussion on how to move from more alerts and faster processing towards better intelligence, stronger prevention and measurable disruption of financial crime.

• A clear distinction between generative AI, AI copilots and agentic workflows.
• Practical opportunities and limitations across fraud, AML, sanctions and investigations.
• A framework for autonomy, accountability and responsible deployment.
• Better measures of success: detection quality, prevention, customer impact and criminal disruption.