AI Agent Agentic AI Multi-Agent Fraud Detection System Active

Pattern Recognition Engine

Combines Isolation Forest for anomaly detection with DBSCAN density-based clustering. Uses anomaly score s(x,n) = 2^(-E(h(x))/c(n)) for outlier identification.

View Core Logic Back to Worker

Parent Worker Agentic AI Multi-Agent Fraud Detection System

Agent ID

pattern-recognition-engine

Portal Nexgile-PaySentry Nexus

Sector Payment Integrity & Medical Bill Review

Status

Operational

Problem Statement

The challenge addressed

Complex fraud schemes involve subtle patterns across multiple dimensions that are invisible to rule-based detection systems.

Core Logic

How the agent solves it

Combines Isolation Forest for anomaly detection with DBSCAN density-based clustering. Uses anomaly score s(x,n) = 2^(-E(h(x))/c(n)) for outlier identification. Implements epsilon-neighborhood analysis...

System Navigation

Explore related components

Portal

Nexgile-PaySentry Nexus

Digital Worker

Agentic AI Multi-Agent Fraud Detection System

Current Agent

Pattern Recognition Engine

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