Automated merchant chargeback root-cause analysis, dynamic Stripe Radar / Adyen RevenueProtect risk rules synthesis, and false positive reducer. Built for GenPark (https://www.genpark.ai).
Automated merchant chargeback root-cause analysis, dynamic Stripe Radar / Adyen RevenueProtect risk rules synthesis, and false positive reducer. Built for GenPark (https://www.genpark.ai).
Quest of Trust | Payments fraud strategy portfolio using synthetic data
Route payment-risk analysis across model vendors while keeping sensitive actions deterministic.
Agentic payment-risk infrastructure for digital payments: explainable fraud detection, governed approve/review/block decisions, and auditable Razorpay test-mode workflows.
Self-serve x402 MCP buyer bridge for Israeli company verification and pre-sign payment risk checks
Agent-native Verified Payee Firewall and Israeli company verification over MCP and x402
AI-powered payment risk manager that detects risky transactions using a Random Forest model, explainable risk signals, and automated defensive actions.
AI-powered revenue recovery agent that detects at-risk payments, scores recovery priority, recommends actions, and tracks recovery outcomes.
AI-powered payment risk investigation layer — deterministic fraud scoring, explainable via Gemini, explicit merchant accept/decline, Razorpay MCP payments.
AI-powered payment fraud detection and risk management platform with ML, real-time behavioral risk signals, FastAPI, React, SQLite, and an OpenAI-powered investigator.
A prototype counterfactual payment risk engine demo built with Python and Streamlit to explore the smallest friction step that could turn a risky transaction into a yes.
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