Transparent. Explainable. Deterministic.
An open-source ecosystem of fraud intelligence projects covering fraud detection, investigations, explainable decision engines, device risk intelligence, regulatory mapping, and operational tooling.
Built by Gururaj G J
Live site: gururaj-gj-g.github.io/fraud-intelligence-platform
| Metric | Value |
|---|---|
| Public repositories | 9 |
| Interactive demos | 6 |
| Decision engines | 2 |
| Investigation tools | 3 |
| License | MIT |
Most fraud repositories demonstrate isolated concepts. This platform brings together decisioning, investigations, analytics, device intelligence, regulatory mapping, and operational controls into a cohesive ecosystem of explainable fraud intelligence projects.
Every component is designed to be transparent, auditable, and human-review first.
- Deterministic Fraud Signal Engine — Explainable fraud detection using deterministic risk signals
- ZIC Decision Engine — Rule-based decision service with transparent governance and scoring
- Fraud Investigation Canvas — Interactive investigator workspace with entity mapping
- ATO Investigation Standard — Structured account takeover methodology and playbooks
- Fraud Analytics Dashboard — Monitoring UI for risk and investigation workflows
- Emergency Outflow Lock — Risk-based transaction restriction framework
- Regulator Intelligence Library — Multi-jurisdiction compliance and AML reference
- Android Device Risk SDK — Device fingerprinting and risk assessment
- AI Agent Risk Evaluation Suite — Risk scoring for autonomous agents
| Project | Live Demo | Repository |
|---|---|---|
| Fraud Investigation Canvas | Launch | GitHub |
| Fraud Analytics Dashboard | Launch | GitHub |
| Emergency Outflow Lock | Launch | GitHub |
| Android Device Risk SDK | Launch | GitHub |
| Regulator Intelligence Library | Launch | GitHub |
| ATO Investigation Standard | Launch | GitHub |
Fraud Intelligence Platform
Signals
│
▼
Deterministic Decision Engine
│
┌───────────────────────┼────────────────────────┐
▼ ▼ ▼
Investigation Canvas Analytics Dashboard Regulator Library
│ │ │
└───────────────┬───────┴────────┐ │
▼ ▼ ▼
Emergency Lock Device Risk SDK AI Agent Risk
See docs/architecture.md for the full design rationale and data flow.
- Transparent decision-making — Every score and decision can be inspected
- Deterministic risk scoring — Same inputs always produce the same outputs
- Explainable outputs — Human-readable reasons accompany every decision
- Human-review first — Systems assist investigators; they do not replace them
- Audit-ready decisions — Full decision trails for compliance and review
- Synthetic demonstration data — Safe, non-sensitive data for demos
- Open standards — Designed for interoperability and inspection
- Privacy-conscious design — Minimal data collection, clear purpose limitation
Python · FastAPI · JavaScript · HTML5 · Chart.js · Kotlin · GitHub Pages · REST APIs · Explainable AI · Fraud Detection · Risk Scoring · Graph Analysis
| Status | Item |
|---|---|
| ✅ | Explainable Decision Engine |
| ✅ | Investigation Canvas |
| ✅ | Analytics Dashboard |
| ✅ | Device Risk SDK |
| ✅ | Emergency Outflow Lock |
| ✅ | Regulatory Intelligence |
| ✅ | ATO Investigation Standard |
| ✅ | AI Agent Risk Suite |
| ⬜ | Case Replay Engine |
| ⬜ | Network Intelligence |
| ⬜ | Graph Database Integration |
| ⬜ | Live API Gateway |
| ⬜ | SaaS Portal |
Full details in docs/roadmap.md.
Each repository is self-contained. Clone any project and follow its README.
git clone https://github.com/Gururaj-GJ-G/fraud-investigation-canvas.gitFor the Python decision engines:
cd deterministic-fraud-signal-engine
pip install -r requirements.txt
uvicorn main:app --reloadAdd product screenshots to the screenshots/ folder (see screenshots/README.md). Once added, they will appear on the GitHub Pages site and can be referenced here.
All projects in this ecosystem are released under the MIT License.
- GitHub: Gururaj-GJ-G
- LinkedIn: Gururaj G J
- Email: gururaj.gj.guru@gmail.com
Fraud Risk · Merchant Risk · Financial Crime · Trust & Safety