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Use Case · Maritime Domain Awareness

Fused maritime domain awareness.

A vessel can disable its transponder, but the people, devices, and physical mass behind it cannot all go dark at once. Aurora™ fuses digital geospatial intelligence with a persistent physical-sensing layer to resolve threats that cross inland, coastline, surface, and subsurface domains.

Sector: National Security & Defence Partner: Persistent maritime-sensing provider Classification: Unclassified / Illustrative
The Challenge

Modern maritime threats erase traditional domain boundaries.

Threat actors do not operate in one domain at a time. They plan ashore, communicate digitally, manipulate AIS signals while moving through commercial traffic, and exploit the subsurface to approach offshore energy assets. The physical sea space is only one part of a wider operational chain — and legacy maritime awareness, built on vessel surface tracks alone, sees only a fraction of it.

Multi-domain maritime threat anatomy: inland planning, coastline embarkation, surface manipulation, and subsurface approach.
The multi-domain threat anatomy. A single hostile operation spans inland digital planning, a coastline embarkation point, surface fast-craft manipulating AIS, and a subsurface approach toward an offshore asset.
The Approach

Correlating human, device, and physical-vessel networks.

Aurora replaces single-domain isolation with multi-source correlation that crosses digital and physical boundaries. Where legacy maritime domain awareness offers vessel surface tracks and manual interpretation of ambiguous contacts, the fused architecture resolves human, device, and physical-vessel networks together — backed by distributed, persistent sensing and a multi-year pattern-of-life look-back.

Comparison: legacy maritime domain awareness versus Aurora fused intelligence across tracking scope, anomaly resolution, deployment posture, subsurface visibility, and post-incident analysis.
Legacy isolation versus fused intelligence. Tracking scope, anomaly resolution, deployment posture, subsurface visibility, and post-incident analysis — each upgraded by fusion.

A global geospatial foundation.

Aurora:GeoStudio® generates the digital context layer — ingesting lawfully accessed device geolocation, AIS, flight data, and telecom indicators into a single environment, with a three-year retrospective look-back for pattern-of-life analysis, recurring-location tracking, co-traveller identification, and network-relationship mapping.

Aurora:GeoStudio global geospatial context: billions of daily geospatial events with a three-year retrospective look-back, input streams and output capabilities.
Layer two: global geospatial context. Lawfully accessed input streams resolve into pattern-of-life, co-traveller, and network-relationship outputs.

Closing the blind spots, signal by signal.

Each operational limitation that defeats single-domain tools is answered twice — once in the physical domain and once in the digital. When a vessel disables AIS to go dark, physical sensing detects unauthorized mass and trajectory while device metadata tracks the crew's movement across the water. When navigation is spoofed, SIGINT/ESM localizes the emissions while Aurora links the signals to IP/ISP indicators and known actor histories.

Physical-digital complementary matrix mapping operational limitations to a physical sensing layer and an Aurora digital solution.
The physical-digital complementary matrix. Going dark, subsurface evasion, and navigation spoofing — each met by a paired physical and digital response.
The Outcome

Reconstructing the network behind the event.

After an incident, Aurora:GeoCanvass® reconstructs up to three years of pre-incident activity around a flashpoint — identifying co-travellers and communities of interest that converged at the maritime event, and tracing perpetrators back to logistics hubs, safehouses, and secondary coastal launch points to dismantle the broader support network.

Post-incident reconstruction radiating historical movement paths from a maritime flashpoint, with retrospective tracking, co-traveller discovery, and network mapping.
Post-incident reconstruction. Historical movement radiates from the flashpoint — surfacing retrospective tracking, co-traveller discovery, and network mapping.
3-yr
Retrospective look-back for pre-incident reconstruction
4
Domains correlated — inland, coastline, surface, subsurface
2×
Paired physical + digital confirmation per signal
Note on sourcing. This case study is drawn from a partner engagement. Customer, partner, and individual identities have been removed and generalized; figures are illustrative of the analytical method, not a specific operation. Reproduced visuals have had partner names redacted.

See fusion applied to your mission.

Aurora™ is available to authorized government and partner organizations. Access begins with a defined mission problem.