Open-source intelligence · Africa

Africa OSINT Laboratory

A public-source research environment for collecting, verifying, corroborating and assessing Africa security information. Every result identifies its originating publisher, evidence status, source reliability and confidence so the reasoning can be traced and challenged.

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Counts are computed from stored published records in the selected window, after removing duplicate reporting and future-dated entries. No record in this window has completed analyst review yet — results are machine-collected reporting.

Supports "quoted phrases", word OR word, -exclude, and field filters country: / layer: / publisher: / category:

Research themes
Entity Graph Explorer

Query the resolved network of actors, organisations and places behind these records.

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    Analyst tool

    Risk matrix builder

    Record the threats you are tracking, score likelihood and impact on the standard 5x5 scale, and set the analytical confidence behind each judgement. Entries are held in this browser only — nothing is uploaded — and can be exported as a matrix file for a risk register or briefing pack.

    Add a threat

    SUBSTANTIAL · score 9An attack or incident is likely.

    5x5 matrix

    5 Severe510152025
    4 Major48121620
    3 Moderate3691215
    2 Minor246810
    1 Negligible12345
    1 Rare2 Unlikely3 Possible4 Likely5 Almost certain

    Vertical axis: impact. Horizontal axis: likelihood. Numbers in a cell show how many of your entries sit there.

    How the six layers are collected

    L1
    Conflict & armed groups
    ACLED, UCDP, GDELT
    L2
    Early warning & emergencies
    GDACS, ReliefWeb, FEWS NET, UN OCHA, WHO
    L3
    GEOINT & situational awareness
    Copernicus, NASA FIRMS, USGS
    L4
    Cybersecurity
    AlienVault OTX, AbuseIPDB, URLhaus
    L5
    Strategic & political risk
    GDELT, OpenSanctions, ISS
    L6
    Verification
    Analyst desk checks, OSINT verification

    Records are collected from named public sources, filtered for an Africa nexus, de-duplicated across layers and graded for verification confidence. Read the methodology and source grading.