How Region Alert Produces Security Intelligence

How Region Alert produces security intelligence: source collection in 100+ languages, verification protocols, and daily briefing methodology.

Methodology · 2026 · Region Alert

The intelligence that keeps operations teams safe does not come from English-language wire services or quarterly risk assessments. It comes from the local-language channels where threats organize before they strike — Pidgin English WhatsApp groups in Cameroon, Fulfulde radio networks in the Far North, Georgian-language Telegram channels in Tbilisi, Tajik-language community forums in Dushanbe. These are the sources that carry ghost town schedules 12 hours before enforcement begins, border closure reports before the crossing shuts, and protest mobilization calls before the first barricade goes up.

This page documents how we find that information, how we verify it, and how we deliver it to the operations teams that depend on it. We are publishing this because the organizations evaluating Region Alert — the security directors, the logistics coordinators, the NGO country directors — need to understand what they are buying. Not a product demo. Not a marketing pitch. The production process itself, so they can assess whether the methodology is sound enough to trust with their people's safety.

Source Collection

Every intelligence product is only as good as its source base. If you are reading English-language wire services, you are reading what Reuters, AFP, and AP decided was internationally newsworthy 24 to 48 hours after it happened. That is journalism. It is not operational intelligence. Operational intelligence requires access to the information ecosystem where threats surface first — and in every region we cover, that ecosystem operates in local languages through community-level channels that international media does not monitor.

For each region, we maintain 42 or more active feeds organized into five collection tiers:

Source Depth

Each country desk maintains hundreds of source feeds spanning community networks, local media, government channels, humanitarian data, and commercial feeds. Every intelligence cycle processes thousands of items through our classification systems. Sources are continuously evaluated and expanded based on coverage requirements and ground-truth validation.

Language Coverage

Language is the single most important variable in intelligence quality. Security-relevant information surfaces in local languages 12 to 36 hours before it appears in English-language international media. This is not an estimate — it is a measured, consistent pattern across every region we cover.

The reason is structural: the people who witness, experience, and report on security events communicate in their own languages through their own community networks. A farmer in Bamenda who sees BIR troop transports heading toward Nkwen posts in Pidgin English on a community WhatsApp group. That information reaches the local population within minutes. It reaches Cameroonian French-language media in hours. It reaches Reuters in a day or more — if it reaches Reuters at all, since not every BIR sweep is internationally newsworthy. The operational intelligence gap is the time between the Pidgin WhatsApp post and the Reuters wire.

Core language coverage:

Extended coverage: AI-assisted translation supports 100+ additional languages, enabling monitoring of source material in Arabic, Hausa, Swahili, Amharic, Burmese, Bahasa Indonesia, Pashto, Dari, and other languages relevant to current and future coverage regions.

Why English-Only Monitoring Fails

An intelligence service that monitors only English-language sources is operating with a structural blind spot of 12 to 36 hours on the most operationally critical information. In that window, a ghost town lockdown can begin and end, a BIR sweep can cordon off a neighborhood, a border crossing can close and reopen, or a targeted killing can occur and its aftermath can reshape local movement patterns — all without any signal reaching English-language media. For operations teams making daily movement decisions, that blind spot is the difference between informed routing and driving into a threat.

AI Classification Engine

Raw information is not intelligence. A local-language community post, a government communique, a commodity price update, and a humanitarian displacement report are all data points. Intelligence is what emerges when those data points are classified, correlated, prioritized, and synthesized into an actionable picture of the threat environment. That is what our classification engine does.

The engine is a multi-stage system that processes every item ingested from every source in every language. Each item passes through the following evaluation sequence:

1
Language Detection and Translation

Items arriving in non-English languages are identified and translated with context preservation. Pidgin English idioms, French military terminology, and Tajik-specific references are handled by language-specific processing rules, not generic machine translation.

2
Category Classification

Each item is classified into one or more operational categories: CONFLICT, CROP_HEALTH, MARKET, WEATHER, POLITICAL, LOGISTICS. Category routing determines which analytical track the item follows — a cocoa disease report enters a different evaluation path than a military movement report.

3
Geographic Relevance Scoring

Items are evaluated for geographic relevance to the monitored region. An item about cocoa disease in Ivory Coast is relevant context for a Cameroon report but is scored differently than a cocoa disease report from the Southwest Region. Country-level, region-level, and district-level geographic precision is assessed.

4
Source Credibility Assessment

Each source carries a credibility score based on historical accuracy, verification track record, and known biases. Official government sources are weighted for access but discounted for known underreporting of civilian casualties. Community sources are weighted for ground-truth proximity but flagged when single-source.

5
Priority Scoring

Items receive a composite priority score based on threat type, geographic precision, source credibility, recency, and assessed operational impact. A confirmed targeted killing in the monitored region scores higher than a political statement from the capital. Priority scores determine the item's prominence in the final report.

The remaining five stages handle deduplication (the same event reported by multiple sources), temporal sequencing (ordering events into a coherent timeline), cross-referencing (connecting related items across categories), trend identification (comparing current cycle data against the prior 14 cycles), and final assembly into the structured report format.

Processing Scale

A typical intelligence cycle processes thousands of items from hundreds of feeds across multiple languages. Our classification systems evaluate every item, classify it, score it, deduplicate it, and route it into the appropriate analytical track. Human analysts then review the classified output, verify high-priority items against additional sources, and produce the final intelligence product. The systems handle volume; analysts handle judgment.

Report Production

The output of the classification engine feeds into a structured report production process that generates intelligence products on a daily to three-day cycle, depending on the region and current threat level.

Report Structure

Report Formats

Quality Standards

Intelligence that is wrong is worse than no intelligence at all. An operations team that receives a false all-clear and sends a convoy into an active threat zone is in a more dangerous position than a team that simply acknowledged the intelligence gap and held in place. Our quality standards exist to prevent that failure mode.

Citation Requirement

Every factual claim in a Region Alert report must include a source citation with URL. This is a non-negotiable production standard. If a claim cannot be sourced, it is not included. There are no exceptions. The citation requirement serves two purposes: it enables subscribers to verify claims independently, and it forces the production process to distinguish between sourced intelligence and analytical inference. Inference is permitted and labeled as such — "assessed," "likely," "based on pattern analysis." Unsourced factual claims are not.

No Fabrication Rule

When data is unavailable, the report states "No information available" for that topic. It does not fill gaps with speculation, generalization, or plausible-sounding content that lacks a source. A report with acknowledged gaps is more trustworthy — and more operationally useful — than a report that appears comprehensive but contains fabricated filler. Operations teams can plan around known unknowns. They cannot plan around false certainties.

Prior Report Context

Each intelligence cycle builds on the previous 14 reports. This rolling context window enables trend analysis (is the threat level rising, stable, or declining?), continuity tracking (has the Douala port situation resolved since last week?), and error correction. If a prior report's assessment proves inaccurate based on new information, the current report explicitly corrects it. We do not silently revise history. We state what we got wrong and what the updated assessment is.

Anti-Hallucination Safeguards

The AI components of the production pipeline are constrained by explicit rules that prevent the generation of plausible but unsourced content. Watch items that have no new information are reported as having no new information — the system does not generate filler text to make the section appear complete. Market recommendations must cite specific prices, percentage changes, and source URLs. Threat assessments must reference the specific items that drove the assessment. These constraints reduce the surface area for AI-generated content that sounds authoritative but lacks a factual basis.

The Quality Test

Every report we publish passes a simple test: could a security director forward this to their country team and have them act on it with confidence? If the answer is no — if any section is vague, unsourced, or speculative to the point where a field team cannot determine whether to move or hold — the report does not ship until the issue is resolved. The standard is operational confidence, not comprehensiveness.

Distribution

Intelligence that arrives too late is the same as intelligence that does not exist. Distribution is designed for speed and reliability.

Frequently Asked Questions

How many sources does Region Alert monitor?

Hundreds of source feeds per region, spanning local news, social signals, community networks, government channels, humanitarian coordination, and commercial data. Each intelligence cycle processes thousands of items across 100+ languages. Sources are continuously evaluated and expanded based on coverage requirements and ground-truth validation.

What languages are covered?

Region Alert monitors in 100+ languages, with deep coverage in the local and regional languages of every area we cover. Language coverage is the single most important differentiator in intelligence quality. Security-relevant information surfaces in local languages 12 to 36 hours before it reaches English-language media. Monitoring only English-language sources creates a structural blind spot that covers the most operationally critical window.

How does the classification system work?

Our multi-stage classification system evaluates every ingested item for threat type, geographic relevance, source credibility, and operational impact. Items are classified into categories (conflict, crop health, market, weather, political, logistics), assigned priority scores, deduplicated, cross-referenced, and assembled into the structured report format. The system handles volume processing of thousands of items per cycle, while human analysts review the classified output and apply editorial judgment to the final intelligence product.

How often are reports produced?

Daily to every three days, depending on the region and current threat level. Regions at CRITICAL threat level receive daily intelligence cycles. Flash alerts for critical incidents — targeted killings, border closures, military operations — are distributed immediately upon detection, outside the regular reporting schedule. Report frequency is configurable per client based on operational requirements.

Is the intelligence verified before distribution?

Yes. Multiple verification layers apply: AI-based source credibility scoring, mandatory source citation for every factual claim, "No information available" for unverifiable data rather than speculation, and rolling 14-report context for trend verification and explicit correction of prior inaccuracies. The production standard is straightforward: if we cannot verify and cite it, we do not report it.

See Our Intelligence in Action

Request a sample report for your region of interest. See the source base, the classification output, the analytical product, and the distribution format — so you can evaluate whether Region Alert's methodology meets your operational standard.

Request a Sample Report
SH
Sean Hagarty, Founder

Former Caucasus-based security professional. Built Region Alert to solve the local-language intelligence gap that existing platforms miss. Lived through the Tbilisi riots, Azeri-Armenian war, and ISIS border incursions — and learned that the information that keeps you alive comes from local channels, not CNN.

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