Building the intelligence layer for cyber operations.

Aegis A1: Domain-Specific Fine-Tuning for Offensive Security

Training methodology for Aegis A1 — a 32B parameter model trained on 2.1M+ curated offensive-security records across 30 domains on AMD MI300X hardware.

Argus: Autonomous Multi-Agent Offensive Security Recon

A five-agent architecture for autonomous attack-surface intelligence. Coordinator-agent pattern, hypothesis generation pipeline, and exploit verification methodology.

Synthetic Corpus Construction for Cybersecurity LLMs

How we built 2.1M+ structured multi-turn conversations across 30 security topics — methodology, quality validation, and the impact on model reasoning depth.