AI RESEARCH
AgentBound: Securing Execution Boundaries of AI Agents
arXiv CS.AI
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ArXi:2510.21236v3 Announce Type: replace-cross Large Language Models (LLMs) have evolved into AI agents that interact with external tools and environments to perform complex tasks. The Model Context Protocol (MCP) has become the de facto standard for connecting agents with such resources, but security has lagged behind: thousands of MCP servers execute with unrestricted access to host systems, creating a broad attack surface. In this paper, we