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1. Project SENTINEL – PayVista Client Requirement Explained | Fraud Detection LLM

Praveen Devisetti_AIJourney

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1. Project SENTINEL – PayVista Client Requirement Explained | Fraud Detection LLM

46 просмотров · 2 недели назад
Praveen Devisetti_AIJourney
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46 просмотров · 2 недели назад
Project SENTINEL – Training PayVista's Own Fraud Intelligence LLM In this video, I explain the Project SENTINEL client requirement from PayVista Payments Pvt. Ltd. as if I were briefing my engineering team after the client meeting. The discussion covers: 🔹 Who is the client – PayVista Payments Pvt. Ltd.? 🔹 What business problem are they facing with their existing fraud detection system? 🔹 What exactly does PayVista want us to build? 🔹 Why does PayVista want its own Fraud Intelligence LLM? 🔹 What are the major functional and technical requirements? 🔹 How will SENTINEL-LM work with the Fraud Model API and Rules Engine? 🔹 What are the AWS, security, performance and compliance requirements? 🔹 What are the expected business outcomes? 🔹 What would constitute a successful delivery? The proposed solution, SENTINEL-LM, is a domain-specific fraud intelligence LLM designed to analyze payment transactions in context and provide: Fraud Probability → ALLOW / REVIEW / BLOCK → Reason Codes → Plain-Language Explanation #ProjectSENTINEL #PayVista #FraudDetection #FraudIntelligence #LLM #GenAI #GenerativeAI #AIEngineering #MachineLearning #LLMOps #MLOps #AWS #XGBoost #FinTech #PaymentFraud