Skip to content

AI_FRAUD_DETECTION_PR.md

Latest commit

 

History

History
34 lines (27 loc) · 1.34 KB

AI_FRAUD_DETECTION_PR.md

File metadata and controls

34 lines (27 loc) · 1.34 KB

AI-Powered Fraud Detection & Adaptive Defense (Issue #981)

Summary

This feature deploys a streaming analytics engine with unsupervised machine learning to detect evolving fraud patterns and trigger automated defense actions. It replaces traditional rule-based detection with adaptive, AI-driven mechanisms for real-time fraud prevention.

Features

  • Streaming analytics engine for real-time transaction ingestion
  • Unsupervised ML (KMeans clustering) for anomaly detection
  • Automated defense actions (block, flag, require 2FA, escalate)
  • Modular dashboard UI for alerts, defenses, and transaction monitoring
  • Utility functions for normalization, risk scoring, and formatting
  • Scalable codebase (500+ lines) for extensibility

Benefits

  • Detects sophisticated, adversarial fraud tactics
  • Adapts to evolving fraud patterns without manual rule updates
  • Enables automated, rapid defense responses

Files Added/Modified

  • public/fraud-ml-engine.js
  • public/fraud-stream-connector.js
  • public/fraud-defense-actions.js
  • public/fraud-dashboard.js
  • public/fraud-dashboard.html
  • public/fraud-dashboard.css
  • public/fraud-utils.js

How to Use

  1. Open fraud-dashboard.html in your browser
  2. The dashboard will stream transactions, detect anomalies, and display alerts/defense actions in real time

Closes #981