CCRNetReport a threat
Platform vision

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.

01Private intake
02Knolo intelligence
03Predictive API
CCRNetKNOWLEDGE NETWORK
REPORTINVESTIGATEPREDICT
INTERACTIVE PRODUCT CONCEPT

See how the workspace comes together.

This prototype illustrates the intended workflow and information architecture. It does not process or retain submitted information.

INTELLIGENCE WORKSPACE

Overview

OPEN REPORTS148↑ 12 this month
CONNECTIONS TO REVIEW236 high relevance
INDICATORS TRACKED3,842Across 48 private packs
MODEL SIGNALS91.2%Validation coverage
Emerging signalsLast 30 days
80604020
Account takeover Payment diversion
Review queue
Wallet reuse8 reports
HIGH
Shared domain cluster5 reports
MEDIUM
Device fingerprint3 reports
MEDIUM
THREAT INTELLIGENCE COLLECTION

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.

Collect with boundaries.Collection is limited by authorization, applicable law, platform terms, data-minimization rules, and documented research purposes. CCRNet does not purchase illegal material, participate in criminal activity, or treat an online claim as proof.
01
OBSERVE

Monitor approved sources

Capture relevant posts, aliases, infrastructure, listings, and timestamps from authorized collection targets.

02
ORGANIZE

Build provenance-rich knowledge

Normalize entities into Knolo packs while retaining source, collection time, confidence, and handling restrictions.

03
LEARN

Train and evaluate models

Create governed datasets for pattern discovery, fraud prediction, model testing, and human-reviewed connections.

BUILT TO GROW WITH THE MISSION

Access aligned to responsibility.

Each tier adds capability, governance, and oversight—not just volume.

CONTRIBUTOR

Report

Secure, structured incident submission and a private reference for follow-up.

  • Guided report intake
  • Evidence references
  • Status updates
ENTERPRISE

Predict

Governed infrastructure for data science, model evaluation, and integration.

  • Intelligence and scoring API
  • Curated training datasets
  • Fraud risk signals
  • Model monitoring
Designed for responsible use.

Predictions surface risk patterns for qualified human review. They are not findings of wrongdoing, credit decisions, or autonomous enforcement actions.