Flagship Service
Custom Model Training & Hardening
Purpose-built AI model fine-tuning for security use cases. From intentionally vulnerable training models to hardened production deployments.
What We Do
Most organizations deploy off-the-shelf LLMs with default configurations and hope for the best. We take the opposite approach: purpose-built model fine-tuning grounded in adversarial security research. We built Basileak, an intentionally vulnerable LLM designed to teach teams what failure looks like, and Shogun, its hardened counterpart built for production security operations. This dual-model methodology (attack first, then defend) gives us unique insight into what makes AI systems fail and how to make them resilient. Whether you need a red-team training model, a hardened production deployment, domain-specific fine-tuning with safety guardrails, or RLHF alignment for compliance, we deliver models that are built for your threat model, not a generic benchmark.
Key Capabilities
Adversarial Fine-Tuning (Red Team Models)
Security-Hardened Model Deployment
Domain-Specific LLM Fine-Tuning
RLHF Safety & Compliance Alignment
Model Robustness Testing & Evaluation
Training Data Curation & Poisoning Detection
Jailbreak Resistance Tuning
Model Supply Chain Security