LLM Security Red Team
Developed for
Security teams and product owners deploying customer-facing or internal LLM agents
The challenge
- LLM apps fail open to injection and abuse without structured red-teaming
- Token-drain and jailbreak patterns evolve faster than static checklists
- Arabic and bilingual apps need region-aware attack coverage
The Solution
An LLM security agent and methodology covering prompt injection, adversarial prompts, and resource-abuse scenarios so Labs can harden products before release.
Key capabilities include:
- ◇ Prompt-injection and adversarial test packs
- ◇ Token-drain and abuse scenario coverage
- ◇ Findings looped into agent and RAG product hardening
Impact
Reduces production incidents from trivial LLM misuse and strengthens trust for enterprise buyers.
Organization benefits:
- Repeatable pre-release security gates
- Shared playbooks across Labs modules
- Evidence for security reviews
Tags
Research Team
Meet Our PIs
Discover the principal investigator behind this project and the expertise that made it possible.
Hamza Salem
Head of PYXON Labs
Leads PYXON Labs research across Arabic AI, edge systems, governance, and applied products that ship into real environments.
// Open Vacancies
Join as a Scientist
Join our team working on LLM Security Red Team. Explore opportunities in machine learning, Arabic NLP, computer vision, edge systems, and applied AI research.
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