RedHerd is a collaborative and serverless framework for orchestrating a geographically distributed group of assets.
Instrumented adversarial simulation framework for studying detection, evasion, and LLM-driven operations. Research tooling for controlled environments.
Neural Asset Intelligence System modeling adversarial credential extraction in supply chains. Features Hierarchical Model Clearance System (HMCS) and Distributed Leviathan Architecture for defensive security research.
Research-grade C2 Framework leveraging advanced LSB Steganography to conceal encrypted command traffic within PNG images. Powered by Go (Agent) and Python (Server) with mTLS authentication.
PeakTalk engineering review snapshot: adversarial meeting simulation platform
Open research idea and reference architecture for AI-assisted adversarial simulation and defensive intelligence.
Zero-trust Linux infrastructure hardening and adversarial simulation range deploying a headless, text-based Debian target server and a Kali Linux attack node over an isolated software-defined switch fabric.
Repository for Command-and-Control (C2) framework for adversary simulation
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