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AI guardrails, explained, and how Guardrino is designed
What an AI guardrail checks and why, how prompt injection, jailbreaks and harmful content differ, how to test any guardrail before you trust it, and the planned design of Guardrino, HisnLabs’ AI firewall for Arabic and English (in development), with a glossary in English, Arabic and French.
- 1 Guardrails 101: what a guardrail is and what it checks
What an AI guardrail does, why it checks both the question and the answer, and how prompt injection, jailbreaks and harmful content differ, including attacks hidden in documents, tool outputs and agent messages.
8 dk - 2 How Guardrino is designed: layers, policies and a test before every change
The planned design of Guardrino, HisnLabs’ AI firewall for Arabic and English: fast rules first, a small classifier that only decides, a deeper review only when a message is unclear, five proportionate actions, policies kept as versioned code, a test panel before every deployment, and an audit trail.
10 dk - 3 Tutorial: write a guardrail policy in plain language
Walk through the planned Guardrino assistant turning a sentence such as “anonymise driving licence numbers” into a precise rule at the right layer, checked against examples and tested before it goes live.
8 dk - 4 Tutorial: test any guardrail before you trust it
A method any team can apply to any guardrail, including Guardrino: count both the attacks caught and the safe messages wrongly blocked, choose the threshold before looking, never test on training data, use public test sets for what they measure, and test in the languages your customers write.
10 dk - 5 Glossary: AI guardrail terms in English, Arabic and French
The words you will meet when choosing or running an AI guardrail, from tashkeel and Arabizi to prompt injection, false blocks and confidence ranges, each with its Arabic and French name and a plain explanation.
7 dk
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