Orbital first
Satellite proximity, GEO manoeuvres and counter-space indicators act as high-value cues. Orbital events get their own globe view, queue and evidence model instead of being flattened into ordinary map pins.
Detect / Correlate / Review / Brief
Intelligence for activity that lives in the grey zone.
GreyZone Watch is a product-grade concept for monitoring hostile activity that sits below the threshold of open conflict. It starts with orbital cues, correlates supporting cross-domain signals, and keeps every conclusion tied to evidence and human review.
Orbital
GNSS
Maritime
Cyber
Physical
EW
Disinfo
RPO SCREEN
GEO proximity candidate
GNSS REGION
Baltic interference signal
HUMAN REVIEW
Draft first, analyst published
Product intent
A live picture of ambiguous, deniable activity.
Grey-zone activity is designed to be deniable, distributed and hard to attribute. GreyZone Watch turns open-source reporting, public datasets and structured signals into an analyst-facing system for campaign discovery, review and briefing.
Signals in context
GNSS interference, maritime infrastructure risk, cyber incidents, physical sabotage, EW and disinformation remain separate signal layers, then combine into campaign-level context when the evidence supports it.
No black-box attribution
The platform supports analyst judgement rather than replacing it. Confidence levels, source links, cited evidence and review status stay visible throughout the workflow.
Capability surface
The core product modules.
01 / Map
Operational event map
Domain-coded markers across Europe and adjacent regions, with severity, confidence and metadata designed for rapid analyst scanning.
02 / Globe
Orbital globe view
Dedicated 3D context for orbital incidents, including GEO framing, proximity cues, object labels and satellite evidence surfaces.
03 / Review
Review queue
Structured signals enter a draft queue before publication, keeping public output curated, defensible and auditable.
04 / Evidence
Source attribution
Every incident can carry source names, links, confidence level, adversary assessment and supporting technical fields.
05 / Phase P
Structured feed triage
Phase P ingestion screens orbital-led CelesTrak signals alongside GNSS and maritime support data for analyst review.
06 / AI Assist
Pattern analysis
Configured AI providers can draft evidence-cited pattern reports while keeping human review mandatory and unsupported claims out of the product.
Analytic workflow
Built for reviewable intelligence, not raw feed noise.
COLLECT
OSINT and structured signals
Open reporting, public datasets and structured feeds provide candidate events, signal clusters and orbital leads.
TRIAGE
Domain and evidence screening
Candidate data is categorised by domain, severity, source quality and confidence before it reaches the public layer.
REVIEW
Human judgement retained
Analysts keep control of attribution and publication. Automation supports pattern discovery but does not publish conclusions by itself.
BRIEF
Campaign-level insight
The output is a clearer picture of grey-zone campaigns, not just a larger database of individual incidents.
Current build
A working MVP ready for product feedback.
GreyZone Watch is a live prototype for demonstration, critique and stakeholder feedback. It is not an authoritative attribution source; it is a working product concept for evidence-led analysis.
Working now
- Map, globe and analysis views
- Curated demo incidents and orbital cases
- Admin settings and review actions
- Phase P structured-feed workflow
- Claude/OpenAI AI-assist configuration
Next research questions
- Which OSINT sources create the most useful signal?
- How should orbital cues drive cross-domain analysis?
- What evidence threshold should public output require?
- How can AI assist pattern discovery without fabrication?
- What would make this useful enough for defence and security stakeholders?
Built by Evo Defence
GreyZone Watch is becoming a standalone intelligence product.
The immediate aim is to use the working demo to test the value proposition: whether an orbital-led, evidence-first intelligence console can help analysts, researchers and decision-makers see grey-zone campaigns more clearly.