AI RESEARCH

ShieldNet: Network-Level Guardrails against Emerging Supply-Chain Injections in Agentic Systems

arXiv CS.AI

ArXi:2604.04426v1 Announce Type: new Existing research on LLM agent security mainly focuses on prompt injection and unsafe input/output behaviors. However, as agents increasingly rely on third-party tools and MCP servers, a new class of supply-chain threats has emerged, where malicious behaviors are embedded in seemingly benign tools, silently hijacking agent execution, leaking sensitive data, or triggering unauthorized actions. Despite their growing impact, there is currently no comprehensive benchmark for evaluating such threats. To bridge this gap, we