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Case Study: Moss prevents ~€100K in fraud losses with Marqeta Real-Time Decisioning

Moss Case StudySourced & dated by Case Study Desk
Key facts · TL;DR
Company
Moss
Industry
Spend Management
Challenge
Moss needed a faster, more flexible fraud tool to protect a growing European card program without heavy engineering dependencies.
Headline result
Moss prevented roughly €100K in fraud losses in 2025 and saved about €100K in internal costs over three years using Marqeta's Real-Time Decisioning

Key results

~€100K
Fraud losses prevented
2025
~€100K
Internal costs saved
over 3 years
~1 hr
To deploy a known-scenario rule
2-3 hrs for complex
~30
Fraud rules in production
fully utilised

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.

EC
Evion Cuko
Risk 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.

Products used

Marqeta Real-Time Decisioning (RTD)Marqeta 3D Secure (3DS)Marqeta Just-in-Time Funding