Fraugster
AI Payment Fraud Prevention for Merchants and PSPs
Fraugster is a Berlin-founded AI payment fraud prevention company specialising in real-time transaction scoring for payment service providers and merchants. The company's proprietary AI mimics human intelligence to evaluate thousands of signals per transaction — detecting fraud patterns including card-not-present fraud, account takeover, and friendly fraud — while minimising false positives that harm legitimate customer experiences. Fraugster's explainable AI model allows fraud analysts to understand why a transaction was flagged, supporting chargeback disputes and regulatory reporting. Acquired by Payone (Germany's leading payment provider) in 2023, Fraugster now forms the AI intelligence layer within Payone's payments stack, bringing advanced ML fraud prevention to a large European merchant base.
At a glance
Built for
Payment Service Providers · Merchants · Fintechs · E-commerce · Airlines
Based in
Hamburg, Germany (acquired by Payone, 2023)
Founded
2016
Official source
fraugster.comProfile snapshot
The essentials at a glance
A concise overview of where Fraugster fits in the financial crime technology landscape.
Category
Payments Fraud
Customer focus
Payment Service Providers, Merchants, Fintechs, E-commerce, Airlines
Headquarters
Hamburg, Germany (acquired by Payone, 2023)
Typical deployment
2–4 weeks
Capabilities and implementation
What this vendor profile covers
Use these published details to understand the vendor’s broad scope and implementation surface before moving into personalized analysis.
Directory detail
Public capabilities
- Payment Fraud
- AI Scoring
- CNP Fraud
- Chargeback Prevention
- Explainable AI
- PSP
- Merchant Fraud
Directory detail
Deployment options
- Cloud / SaaS
- API
Directory detail
Common integrations
- REST API
- Payone
- Major PSP platforms
- Stripe
- Payment gateways
Directory detail
Trust and support details
- SOC 2 Type II
- PCI DSS
- GDPR Compliant
- ISO 27001
- Dedicated Account Management
- Technical Support
- Developer Documentation
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