The Challenge
A security-focused organization needed custom LLM infrastructure for red-teaming operations. Off-the-shelf solutions didn't meet their requirements: they needed full control over model deployment, comprehensive logging of all interactions, and a custom evaluation harness to systematically test model vulnerabilities. Due to the sensitive nature of the work, this engagement is under NDA.
What We Built
We deployed a complete red-teaming infrastructure from scratch:
- Custom LLM Deployment: Production-grade model hosting with sub-100ms latency, optimized for the rapid iteration cycles required in red-teaming workflows.
- Red-Teaming Harness: A custom evaluation framework to systematically probe model behaviors, track attack vectors, and document vulnerabilities across test runs.
- Comprehensive Logging Pipeline: Every interaction captured and indexed for analysis—prompts, responses, latency, token counts, and custom metadata for security research.
- Evaluation Application: A purpose-built interface for security researchers to run tests, compare results across model versions, and generate reports.
Results
Inference latency achieved
Interaction logging & audit trail
Red-teaming harness deployed
Ready infrastructure shipped
The client now has a fully operational red-teaming environment that enables their security team to systematically evaluate LLM vulnerabilities, with complete control over the infrastructure and full visibility into model behavior.
Project Details
- AWS (EKS, SageMaker, etc.)
- TypeScript
- Python
- Docker/Kubernetes
Ready to Build Something Like This?
No decks. No fluff. Just shipped systems.
