Ralph Dangelmaier

Payments have always been a high-value target for cybercriminals, but artificial intelligence is changing the nature of the threat. In the past, attackers often needed stolen passwords, card details, or compromised accounts to move money. Today, generative AI can help create convincing faces, voices, videos, and conversations that make a fraudulent payment request appear to come from a trusted person. The result is a new kind of attack where the technology does not necessarily break the payment system itself. Instead, it manipulates the people and systems responsible for deciding whether a payment should happen. Deepfake avatars make this problem even more complicated because visual and audio cues that once helped establish trust can now be manufactured at scale. At the same time, AI agents are beginning to participate in commerce, authorization, fraud detection, and other financial workflows. Research into agentic commerce highlights risks around transaction authorization, agent ident...

Global commerce has made it possible for consumers to purchase products and services from businesses almost anywhere in the world. Yet international checkout can still feel surprisingly complicated. Currency conversions, unfamiliar payment methods, authentication requirements, shipping costs, fraud checks, and regional regulations can create obstacles for both buyers and merchants. Agentic payment systems are emerging as a way to reduce these challenges by using intelligent software agents to manage payment decisions and processes in real time. Rather than simply displaying payment information, agentic systems can evaluate context, select suitable options, coordinate transactions, and respond to changing conditions. This approach can make global checkout experiences faster and more convenient while helping merchants improve authorization rates, reduce operational complexity, and serve customers across borders more effectively. Moving Beyond Traditional Checkout Models Traditional chec...