LLM Security Playbook
A comprehensive guide and checklist for securing Large Language Model applications against common vulnerabilities.
Innovation & Artificial Intelligence Research & Consultancies
AI red-teaming, safety & assurance — before your customers stress-test it for you.
Founder-led consultancy backed by the loom evaluation platform, in-house NVIDIA RTX PRO 6000 compute, and ~10 years in InfoSec.
Model robustness · Guardrail design · AI assurance
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بناء أدوات لتأمين الجيل القادم من البنية التحتية للذكاء الاصطناعي.
A comprehensive guide and checklist for securing Large Language Model applications against common vulnerabilities.
A comprehensive case study on discovering and fixing a critical vulnerability in pip's dependency resolution algorithm that affected millions of Python developers worldwide.
A detailed case study on identifying and fixing security vulnerabilities in the OpenAI Python SDK, including async streaming improvements and backpressure handling implementation.
المساهمة في الأدوات التي تدعم نظام الذكاء الاصطناعي البيئي
أفكار حول أمن الذكاء الاصطناعي والمصدر المفتوح وهندسة البرمجيات.
Announcing the launch of my personal portfolio built with Astro 5, React 19, and Tailwind CSS 4. A look at the architecture, features, and the journey of building a modern developer portfolio.
An introduction to my new portfolio and what I plan to share about AI security and Python development.
A comprehensive guide to understanding and mitigating security risks in Large Language Model applications, from prompt injection to data leakage.
أنا دائمًا منفتح لمناقشة فرص جديدة، أو تعاونات، أو مجرد الحديث عن أمن الذكاء الاصطناعي والمصدر المفتوح.