Researchers have proposed a novel defense mechanism, leveraging geometric principles to enhance routing security in Multi-Agent Systems (MAS) that utilize Large Language Models (LLMs). This approach, termed a "linguistic firewall," aims to mitigate the risks associated with unverified proxies in existing routing protocols. By applying geometric constraints to task allocation, the system can more effectively identify and filter out malicious or inefficient agents, thereby improving overall workflow efficiency and security. The use of geometric principles allows for more robust and adaptive routing decisions, reducing the reliance on potentially vulnerable text-based proxies1. This development has significant implications for the security and reliability of MAS, particularly in applications where LLMs are increasingly being integrated. The success of this approach could lead to more secure and efficient task allocation in complex workflows, making it a crucial consideration for practitioners designing and implementing MAS.