One governed path from report to prediction.
A research concept for building governed case knowledge with Knolo, investigating cross-report patterns, and evaluating responsible fraud-prevention methods. Public intake is closed and the concept is not generally available.
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.
Public benefit at every level.
Future access would be based on purpose, qualification, governance, and available support—not only purchasing power.
Learn
Free educational resources and peer-support pathways for people affected by fraud.
- Safety guidance
- Fraud typologies
- Public trend reports
Study
Qualified access and support for researchers, nonprofits, journalists, victim-support groups, and under-resourced public agencies.
- Free or subsidized access
- Educational datasets
- Technical assistance
- Documented safeguards
Sustain
Paid, governed deployments and support may help sustain the foundation’s charitable programs.
- Isolated Knolo packs
- Audit and permissions
- Evaluated integrations
- Mission-supporting revenue
Predictions surface risk patterns for qualified human review. They are not findings of wrongdoing, credit decisions, or autonomous enforcement actions.