Find your AI's weaknesses
before attackers do

We attack your AI like a real adversary, thousands of jailbreaks, prompt injections and harmful-content probes across Arabic, its dialects and 16 languages, then hand you a report of every weakness before launch

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Why red-teaming

Every AI is one clever prompt away from a headline

Any product that generates AI content is liable for what it says, and regulators now expect adversarial testing. One public failure is a reputation and legal risk

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Break-in attempts

We try every trick, role-play, hidden instructions and social engineering, to make your AI ignore its own rules

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Arabic and 16 languages

Western tools test English only and attackers exploit the gap, we probe in Arabic, its dialects and 16 languages

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A clear report

Every weakness found, scored, with fixes, so you harden it before launch, not after the headline

How it works

Three steps to a safer AI

Point us at your AI

Give us access to your model or endpoint

We attack it

Thousands of adversarial probes across every category and language

You get the report

Vulnerabilities, a safety score and fixes, then re-test after you patch

Test your AI before the world does

Request a red-team assessment and see where it breaks

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