GLOBAL THREAT MONITOR

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About & Methodology

What this is, exactly where the data comes from, how it gets summarized, and where the limits are. Written for people who want to verify a claim before trusting it, not just take our word for it.

What this is

Global Threat Monitor is a free, ad-free, one-person project: a live map of publicly reported conflict, terrorism, cyber, and political events, plus natural disasters (earthquakes, wildfires, floods, volcanic activity, storms, drought), pulled from open news feeds and public government/scientific data sources. It refreshes automatically, keeps a rolling history you can scrub back through, and can optionally email you a digest.

It is not an intelligence product, not fact-checked by a human newsroom, and not a substitute for verified reporting on anything you're making a real decision based on. Treat it as a fast, honest first pass — then go read the original source, which is always linked.

Data sources

Every event on the site traces back to one of these. Nothing is invented — see "How events are summarized" below for exactly what role the AI plays and doesn't play.

Conflict / terrorism / cyber / political news

BBC News — WorldRSS
Al JazeeraRSS
The New York Times — WorldRSS
The Guardian — WorldRSS
ReliefWeb (UN OCHA)RSS

Natural disasters

USGS Earthquake Hazards ProgramM4.5+, rolling 7 days
NASA EONETwildfires, floods, volcanoes, storms, drought

Map & location

Natural Earth (110m admin boundaries)country borders on the globe
OpenStreetMap Nominatimlocation search (home location, country tags)

Every card links directly to the original article or agency record it came from — that link is resolved server-side from the actual feed item, never generated by the AI (more on that below).

How events are selected & summarized

Conflict/terrorism/cyber/political events go through a local AI model (qwen2.5:14b, running via Ollama). The pipeline is deliberately narrow:

Natural disaster events (earthquakes, EONET hazards) need no AI at all — they're structured data straight from USGS/NASA with real measured coordinates, magnitudes, and timestamps.

The email digest (if you subscribe) uses the same local model to write plain-language summaries of an already-machine-grouped set of events — again, only for prose, never for facts, links, or figures.

All summarization runs locally, on the site owner's own machine — no event content is sent to OpenAI, Anthropic, Google, or any other third-party AI API. The only external network calls in the whole pipeline are: fetching the public RSS/USGS/NASA/Nominatim sources listed above, and — only for people who opt into the email digest — handing the finished email to Resend for delivery.

Known limitations

Being upfront about where this can be wrong or incomplete:

Refresh & retention

Privacy

Questions or something looks wrong?

Use the feedback button (💬) on the main page — I read every submission and this is a one-person project I actively maintain.