CLASSIFIED DATA ACCESS // LEVEL 4 CLEARANCE

Criminal Intelligence Network

A secure, clearance-based platform for collecting, classifying and analysing open-source financial intelligence, built for compliance and research teams.

System Metrics

LIVE STATUS Live from records
Files Stored0
Storage Used (MB)0
Added Last 7 Days0
Top Clearance On File0

01 / Mission

Turning open-source data into compliance insight

The Criminal Intelligence Network (CIN) is a research platform that aggregates open-source financial data to identify compliance risks. It brings scattered public records into one controlled environment where analysts can review, cross-reference and document their findings.

Every record is handled under a clearance model. Access is granted by need, each action is logged, and reports are anonymised before they leave the system. The aim is simple: faster, more consistent and more accountable due diligence.

  • AggregatePublic filings, registries and published financial disclosures in one place.
  • AnalysePattern and anomaly detection that highlights items worth human review.
  • ReportStructured, anonymised outputs ready for compliance teams.

02 / Intelligence Pipeline

From raw sources to verified reports

Registries Filings Disclosures Public Media CIN CORE Analysis Reports Alerts
Data flow: ingestion, enrichment and controlled output
SecurityCoverageAccuracy SpeedPrivacy
Platform coverage profile

03 / Capabilities

Built for sensitive research workflows

Data Encryption

Records are protected in transit and at rest, with sessions that expire automatically.

Anonymized Reporting

Identifying details are removed from outputs so findings can be shared safely.

Global Compliance

Workflows aligned with AML, KYC and data-protection expectations across regions.

AI Analysis

Pattern and anomaly detection surfaces items for review, with people making the final call.

Clearance Control

Four clearance levels from Restricted to Top Secret govern who can view each file.

Audit Trail

Every upload and access is recorded, giving teams a verifiable history for reviews.