# autogen
6 articlestagged with “autogen”
AutoGen Security Analysis
Security analysis of Microsoft's AutoGen framework for multi-agent conversation exploitation.
AutoGen Security Deep Dive
Comprehensive security analysis of Microsoft AutoGen multi-agent framework including conversation patterns and code execution.
CrewAI & AutoGen Security
Security analysis of multi-agent frameworks CrewAI and AutoGen, covering role manipulation, inter-agent injection, delegation abuse, and multi-agent coordination attacks.
Security Comparison Matrix
Side-by-side security comparison of major AI agent frameworks: LangChain, CrewAI, AutoGen, Semantic Kernel, and OpenAI Assistants, covering default security, common misconfigurations, and framework selection guidance.
Agent Framework Security
Security analysis of major AI agent frameworks including LangChain, CrewAI, AutoGen, Semantic Kernel, and OpenAI Assistants, covering default configurations, common vulnerabilities, and framework-specific attack surfaces.
AutoGen Multi-Agent System Testing
End-to-end walkthrough for security testing AutoGen multi-agent systems: agent enumeration, inter-agent injection, code execution sandbox assessment, conversation manipulation, and escalation path analysis.