One governed path from report to prediction.
A unified network for submitting cybercrime reports, building case knowledge with Knolo, investigating cross-report patterns, and developing responsible fraud prediction systems.
See how the workspace comes together.
This prototype illustrates the intended workflow and information architecture. It does not process or retain submitted information.
Overview
See criminal infrastructure beyond submitted reports.
CCRNet organizes lawfully accessible intelligence from the dark web, Telegram, illicit marketplaces, forums, and other high-risk channels where cybercrime is advertised, coordinated, or discussed. That external intelligence can enrich private reports without erasing where a signal came from.
Monitor approved sources
Capture relevant posts, aliases, infrastructure, listings, and timestamps from authorized collection targets.
Build provenance-rich knowledge
Normalize entities into Knolo packs while retaining source, collection time, confidence, and handling restrictions.
Train and evaluate models
Create governed datasets for pattern discovery, fraud prediction, model testing, and human-reviewed connections.
Access aligned to responsibility.
Each tier adds capability, governance, and oversight—not just volume.
Report
Secure, structured incident submission and a private reference for follow-up.
- Guided report intake
- Evidence references
- Status updates
Investigate
A case workspace for teams that need to search, connect, and review.
- Organization and case Knolo packs
- Cross-report search
- Human-reviewed connections
- Audit and permissions
Predict
Governed infrastructure for data science, model evaluation, and integration.
- Intelligence and scoring API
- Curated training datasets
- Fraud risk signals
- Model monitoring
Predictions surface risk patterns for qualified human review. They are not findings of wrongdoing, credit decisions, or autonomous enforcement actions.