Whitepapers
Research on how fraud patterns form, and what to score before chargebacks, bots and fake accounts hit your P&L.
- 6papers
- 4topics
- 2024–26published
Browse by the problem you need to solve
Filter by topic to jump to fraud ops, commerce strategy, AI methods, or security architecture then open the paper that matches your next decision.
Return Fraud: The 2026 AI-Driven Retail War
Maps weaponized returns, industrialized card testing and risks against shopping agents, so retail risk teams know where AI changes the attack surface.
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Mitigating Disputes and Chargebacks: A Comprehensive Framework
Connects 3DS 2.0 deferred auth, self-supervised detection and dispute lifecycle steps into a practical path for CNP teams cutting chargeback volume.
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Bot Detection and Protection: Honeypot-Based Real-Time IP Blocking
Shows a honeypot + Kafka + Elasticsearch pipeline that classifies live bot traffic, useful when signature rules miss rotating attackers.
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Multiple Account Opening Detector using Graph Databases
Explains graph-based detection of multi-account creation from shared IPs or devices, so signup abuse is caught before incentives get drained.
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Device Fingerprinting using Autoencoders
Covers encoding browser fingerprints with autoencoders so identity teams can compare devices across browsers without brittle exact matches.
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Turn the research into decisions on your traffic.
Sensfrx scores signup, login and payment events with the same classes of signals these papers describe, so your team acts on risk before funds move.
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