llm-platform-security/SecGPT
📦 Open Source Projectllm-platform-security
A robust execution isolation architecture designed to secure LLM-based agentic systems against malicious code and prompt injection.
SecGPT introduces a specialized architectural pattern for securing LLM-based agentic systems. As agents gain the ability to execute arbitrary code and interact with external APIs, they become susceptible to prompt injection, remote code execution, and data exfiltration. SecGPT mitigates these threats by providing a structured execution isolation layer. The framework leverages Python-based sandboxing techniques to wrap agent tool calls and code execution environments, ensuring that any malicious activity is contained within a restricted scope. Key features include fine-grained control over agent capabilities, monitoring of tool execution, and a modular design that integrates seamlessly with popular frameworks like LangChain. By decoupling the agent's reasoning engine from the execution environment, SecGPT provides a defense-in-depth approach to GenAI security, making it an essential component for developers building production-grade, agentic AI applications that handle sensitive data or perform critical system operations.
💡Highlights
- ├─Execution isolation for LLM agents
- ├─Mitigates RCE and prompt injection
- └─Integrates with LangChain
🎯For
- ├─AI Security Engineers
- ├─LLM Application Developers
- └─DevSecOps Professionals