Agentic Fraud Analysis
A three-agent architecture that handles fraud incidents end-to-end: Alert Triage Agent consolidates alerts and creates incidents, Diagnose Agent performs root cause analysis, and Mitigation Agent develops and deploys automated solutions.
Tech Stack
Problem
Fraud investigation requires analyzing multiple data sources, correlating patterns across alerts, and synthesizing findings - a time-consuming manual process that delays response time.
Solution
Built a three-agent system where specialized agents handle different aspects of fraud investigation: Alert Triage for consolidation, Diagnose for RCA, and Mitigation for automated fixes. Orchestrated through MCP (Model Context Protocol) tool calls with human-in-the-loop approval.
Impact
Automated significant portions of fraud investigation workflow with consistent, auditable analysis trails and faster incident response.
Architecture
Key Features
- •Three-agent architecture: Alert Triage, Diagnose, and Mitigation agents
- •MCP servers for modular tool capabilities (data analysis, ML models)
- •AI Proxy for request routing and authentication
- •Human-in-the-loop UI for reviewing and approving agent plans
- •Automated alert correlation and incident creation
- •Root cause analysis with attack pattern identification