MSAS National Maritime Fusion Grid
Active Style Tactical
Selected Contact C-2048

Dark radar contact off Jakhau

Indian Coast Guard | iDEX Defence Challenge Prototype

Maritime Security Analysis Software

AI/ML-enabled maritime fusion, threat scoring, prediction, and decision support.

NodeNational CC
ModeOn-prem / Air-gapped
DataSynthetic demo
Natural Language Query
Active Contacts 0 Blip -> contact -> vessel profile
High / Critical 0 Threat score >= 70
Identity Confidence 0.00 Average selected picture
Sensor Task Queue 0 EO/IR, VHF, and corroboration tasks

Unified Common Operating Picture

Live vessel positions, dark contacts, zone breaches, patrol assets, and intelligence overlays.

All India maritime picture

Operational Priority Queue

Ranked by threat score, confidence gaps, zone proximity, and time-to-intercept.

Observation-to-Action Flow

Hard and soft lanes feed entity resolution and behavioural intelligence in parallel.

Commander Dashboard

Top threats, regional risk heatmap, recommended response, and patrol asset availability.

Threat and Anomaly Engine

Dark vessel, AIS spoofing, contradiction, behaviour, zone, and safety analytics.

Predictive Intelligence

Likely waypoint, rendezvous location, expected destination, and escalation risk.

Investigation Workbench

Universal Evidence Chain for the selected contact.

AI Watchkeeper Copilot

Evidence-backed explanation and correction workflow.

Seven-Layer Technical Architecture

Sensor ingestion through infrastructure, with defined interfaces between layers.

Reference Diagrams From The Paper

Architecture, confidence scoring, and deployment topology.

MSAS architecture diagram

Security and Governance

Zero trust, RBAC, approval chains, classification controls, and immutable audit.

Human Feedback Loop

Correction submission, review and approval, training ingestion.