🛡️ Autonomous Agent Defense Matrix

A comprehensive, MITRE ATT&CK-inspired framework designed specifically to map out vulnerabilities and defensive strategies for autonomous LLM-based agents.

As AI agents gain more autonomy (browsing the web, executing code, interacting with other agents), they introduce entirely new attack surfaces. This matrix provides a structured approach to securing them.

📊 Matrix Overview

The matrix is divided into 5 core tactical phases:

1. Reconnaissance & Initial Access (e.g., Goal Hijacking, NHI Delegation)
2. Execution & Tool Access (e.g., CoT Poisoning, Browser DOM Isolation)
3. Persistence & Lateral Movement (e.g., Episodic Memory Subversion, Semantic Kill-Switches)
4. Impact & Data Exfiltration (e.g., Context Exhaustion, Secret Masking)
5. Detection, Response & Governance (e.g., Agent UEBA, Multi-Agent Reputation)

👉 View the Interactive Matrix

🤝 Contributing

This is an evolving framework. If you are working on AI Red Teaming or Agentic Security, please open an Issue or submit a PR to add new attack vectors and mitigations!