Releases: studiofarzulla/adversarial-security-agents
Releases · studiofarzulla/adversarial-security-agents
v0.1.0-alpha - Initial Public Release: Proof of Concept
Adversarial Security Agents - Initial Public Release
Proof-of-concept framework for autonomous adversarial security testing.
What This Is
An autonomous red team agent that:
- Queries a RAG knowledge base (5,395 offensive security documents)
- Uses LLM reasoning to plan attacks
- Executes tools autonomously (2000+ BlackArch utilities)
- Runs isolated in Kubernetes with NetworkPolicy guarantees
Built to explore whether adversarial AI competitions could secure open-source ecosystems at scale.
Key Components
- Autonomous agent with 5-phase attack methodology
- MCP RAG server (GTFOBins, Atomic Red Team, HackTricks, MITRE ATT&CK)
- Kubernetes-native deployment with kernel-level isolation
- Complete documentation (4,000+ lines)
- Attack scenarios mapped to MITRE ATT&CK
Model Configuration
- Qwen2.5-Coder-14B-Instruct-abliterated-GGUF
- LM Studio 0.3.29+
- Optimized inference: temp=0.4, min_p=0.08, Flash Attention, Q8_0 KV cache
Status
Built in 48 hours (October 8-9, 2025). Core components functional and documented.
Live testing pending infrastructure stabilization. Blue team agent in development.
Getting Started
See README.md for complete setup instructions.