Dependency Graph
The system builds a graph of 350 infrastructure nodes and dependency edges:Cascade Calculation
When a user selects an infrastructure asset for analysis, a breadth-first cascade propagates through the graph:Redundancy Modeling
The system accounts for alternative routes:- Cables with high redundancy show reduced impact
- Countries with multiple cable landings show lower vulnerability
- Alternative routes are displayed with capacity percentages
Example Analysis
MAREA Cable Disruption:Use Cases
- Pre-positioning: Understand which countries are most vulnerable to specific infrastructure failures
- Risk Assessment: Evaluate supply chain exposure to chokepoint disruptions
- Incident Response: Quickly identify downstream effects of reported cable cuts or pipeline damage
Undersea Cable Activity Monitoring
The dashboard monitors real-time cable operations and advisories from official maritime warning systems, providing early warning of potential connectivity disruptions.Backed by endpoints
Data Sources
How It Works
The system parses NGA (National Geospatial-Intelligence Agency) maritime warnings for cable-related activity:- Keyword filtering: Warnings containing “CABLE”, “CABLESHIP”, “SUBMARINE CABLE”, “FIBER OPTIC” are extracted
- Coordinate parsing: DMS and decimal coordinates are extracted from warning text
- Cable matching: Coordinates are matched to nearest cable routes within 5° radius
- Severity classification: Keywords like “FAULT”, “BREAK”, “DAMAGE” indicate faults; others indicate maintenance
Alert Types
Repair Ship Tracking
When a cableship is mentioned in warnings, the system extracts:- Vessel name: CS Reliance, Cable Innovator, etc.
- Status: “En route” or “On station”
- Location: Current working area
- Associated cable: Nearest cable route
Why This Matters
Undersea cables carry 95% of intercontinental data traffic. A cable cut can:- Cause regional internet outages
- Disrupt financial transactions
- Impact military communications
- Create economic cascading effects