agenthound
Offensive security framework for AI agent infrastructure - recon, credential looting, model exfiltration, poisoning, and attack-path analysis across MCP, A2A, gateways, and AI services. BloodHound for the agentic stack.
Take a look →OPEN SOURCE, IN FOCUS
depalmar/ai-dfir-toolkit
A vendor-neutral collection of Sigma, YARA, and Suricata rules for detecting compromise of LLM applications, MCP servers, ML supply chains, AI infrastructure, AI-powered insider threats, and RAG/vector database attacks.
Saved projects stay in this browser. No account needed.
TAKE A CLOSER LOOK
The repository is the place to check installation steps, supported platforms, the license, and current maintenance before choosing a tool.
Read the documentation on GitHub ↗Find projects in the same areas, or search the archive for a different approach.