Case Study: Moss prevents ~€100K in fraud losses with Marqeta Real-Time Decisioning
Key results
The challenge
Moss, a European spend management and corporate card platform, needed to evolve from a handful of high-impact fraud rules to a multi-layered, data-driven risk strategy across markets. By 2022 it required a fraud tool with greater flexibility, operational resilience, and speed than its existing systems.
The solution
Moss adopted Marqeta's Real-Time Decisioning engine alongside Marqeta's 3D Secure solution and its own AI-driven disputes process, embedding fraud tooling directly in its card issuing platform. It operates around 30 fully utilised rules covering countries, merchant category codes, and merchant IDs.
“With RTD, we can block fraud as it's happening, not hours later.”
ECEvion CukoRisk Management Lead, Moss
The results, in context
Moss reports preventing roughly €100K in fraud losses in 2025 and saving about €100K in internal costs and resource allocation over three years. Implementing a known-scenario rule takes about one hour and complex scenarios two to three hours, which Moss describes as a significant time saving versus building tooling internally.