A new system called AEGIS aims to prevent malicious agents from abusing resources in large language model (LLM) systems. The Model Context Protocol (MCP) allows LLMs to interact with external tools, but this can be exploited by attackers who request excessive amounts of data or computation. AEGIS uses the reasoning capabilities of LLMs to analyze and normalize tool invocations, making it easier for administrators to define policies that prevent resource abuse. The system is integrated with other security tools and can detect and mitigate abusive behaviors while preserving flexibility in MCP-based ecosystems. --- Why it matters: This matters because it addresses a critical issue in the development of large language models: preventing malicious agents from exploiting their resources. Engineers working on LLMs need to consider how to protect against such attacks, and AEGIS provides a solution that can be integrated with existing systems. Source: https://arxiv.org/abs/2608.20481