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GitHub
First multilingual (Arabic/English/...) LLM security gateway
The first documented security gateway built for Arabic, Arabizi, and English — with explainable, multi-threat detection. Each input's embedding is compared against all three anchor sets via cosine similarity. The resulting 3D feature vector feeds a lightweight Logistic Regression classifier — fast, interpretable, and GPU-free. This directly solves the false-positive trap that binary classifiers fall into: a student asking "how does jailbreaking work?" is never mistaken for an attacker.
400 million Arabic speakers use LLMs every day. Before this work, zero documented security systems protected them.
Prompt injection, jailbreaking, phishing, and Unicode-based attacks are now routine. Existing defenses share three blind spots:
Limitation | Impact
Single-threat focus : Only catches one attack type at a time
English-only : Blind to Arabic and Arabizi (Arabic typed in Latin script)
No explainability : Black-box decisions with zero rationale
GitHub was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #9 on the daily leaderboard. The first documented security gateway built for Arabic, Arabizi, and English — with explainable, multi-threat detection. Each input's embedding is compared against all three anchor sets via cosine similarity. The resulting 3D feature vector feeds a lightweight Logistic Regression classifier — fast, interpretable, and GPU-free. This directly solves the false-positive trap that binary classifiers fall into: a student asking "how does jailbreaking work?" is never mistaken for an attacker.
On the analytics side, GitHub competes within Open Source, Artificial Intelligence and GitHub — topics that collectively have 588.3k followers on Product Hunt. The dashboard above tracks how GitHub performed against the three products that launched closest to it on the same day.
Who hunted GitHub?
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For a complete overview of GitHub including community comment highlights and product details, visit the product overview.