Elite-Tier Real-time Fraud Detection & Data Governance Platform
The Temporal Intelligence Engine is an autonomous, agentic system designed to identify and investigate fraud rings in real-time while enforcing absolute data sovereignty. Built with Apache Flink, Memgraph, and LangGraph.
A dedicated Ring Hunter that periodically scans the graph using Weakly Connected Components (WCC) and community detection to identify suspicious user patterns and mark them for investigation.
A governance layer that enforces Data Contracts and masks PII using Microsoft Presidio before storage.
- Status: PII Masking Verified
Powered by LangGraph, the engine features a self-reasoning investigator that performs:
- Graph Context Gathering.
- Network Analysis & Device Fingerprinting.
- Autonomous Risk Decision ([ALLOW, BLOCK, INVESTIGATE]).
graph TD
subgraph "Producer Layer"
P1[User Transactions] --> K[Redpanda / Kafka]
P2[User Profiles] --> K
end
subgraph "Processing & Governance"
K --> F[Apache Flink]
F --> CE[Contract Enforcer]
CE --> PS[PII Shield]
PS --> R[Redis Features]
end
subgraph "Knowledge Graph & AI"
PS --> M[(Memgraph Graph DB)]
M --> LG[[LangGraph Investigator Agent]]
LG --> D[Autonomous Decision]
RH[Ring Hunter] --> M
end
subgraph "Command Center"
M --> DB[Next.js Dashboard]
CE --> DB
LG --> DB
end
-
Orchestrate Infrastructure:
docker-compose up -d
-
Submit Flink Job:
python processor.py
-
Launch Phase 6 Dashboard:
cd dashboard && npm run dev
-
Engage the Ring Hunter:
python ring_hunter.py
- PII Labeling:
[REDACTED_NAME],[REDACTED_EMAIL]. - Contract Enforcement: Automated tagging of "Schema Drift" and unauthorized fields.
Important
Production Synchronization: This repository is synchronized via GitHub Actions to ensure that only governance-vetted code reaches the production environment.