Free tools that will run your lab. Each one explained in plain words: what it does, and how you start it.
Yerevan · 10-12 August 2026
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Licences, subscriptions, vendors. The whole arsenal is free.
You open it in the browser and use it. Nothing to install.
Installed once in Chrome or Firefox, then it works while you browse.
Installed on the lab computer. We install everything together on Day 2; after that it just runs.
A downloadable brain for a specific job. It sits inside one simple app and works offline.

What it does: Collects posts from Telegram and other platforms into one searchable table. Instead of reading a channel post by post, you ask questions of thousands of posts at once: what appeared when, from whom, how often.
How you start: It has a normal web-page interface once installed. We install it for your lab together on Day 2.

What it does: Reads the hidden information inside a photo or video file: when it was really created, what software touched it, sometimes even where. The first question you ask of every suspicious file.
How you start: Drop a file onto it, read the answer. We set it up on the lab computer on Day 2.

What it does: Turns any audio or video into written text: a propaganda clip, a voice message, a two-hour stream. It understands Armenian. Suddenly everything is searchable and quotable.
How you start: Drop in an audio file, get text back. Works offline on the lab computer.

What it does: Reads a huge pile of posts and groups the ones that tell the same story, even across languages. Ten thousand posts collapse into a dozen storylines you can actually look at.
How you start: On Day 2 we press the button together and you watch your own material sort itself.

What it does: Draws the picture: accounts as dots, connections as lines. Coordinated groups jump out visually. The network maps you saw in the reports in Part 1 are made with this.
How you start: A normal desktop program. Download, open, load your data.

What it does: You give it one suspicious website address. It comes back with everything public about it: who registered it, when, what other sites live next to it. This is how fake-site networks get unmasked.
How you start: Web-page interface after install; type an address, press start. Day 2.
From a table of accounts to a living map in minutes. This is the same walkthrough your analysts will follow on Day 2, on Armenian data.

What it does: Your own permanent archive. Paste a link and it saves the whole page: text, images, video, with date and time. When the fake disappears next week, your evidence does not.
How you start: Runs on the lab computer with a simple web page: paste link, done.

What it does: The app that runs AI models on your own computer. You chat with it like with ChatGPT, but nothing you type ever leaves the room. For an institute handling sensitive material, this is the whole point.
How you start: Install it, type one line: ollama run qwen3. That is genuinely all.
A 15-minute walkthrough of everything on the previous slide: install Ollama, download a model, start asking questions. No account, no card, no cloud.
30B
AI parameters running locally in Gliwice
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cloud calls for sensitive material
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suitcase: our working kit, not a demo
DISARM is a public, free dictionary of manipulation techniques: every trick has a name and a code. When your report says 'technique T0023', an analyst in Brussels knows exactly what you mean.
It does not exist in Armenian yet. Translating the core of it could be this project's visible gift to the field, with AIISA's name on it.
The machine attacking Armenia is industrial. The defence can be too, and it is free.