Nov 05, 2025 • GreyNoise Blog
What GreyNoise Learned from Deploying MCP Honeypots
GreyNoise recently deployed honeypots specifically designed for the Model Context Protocol (MCP) to observe how attackers interact with AI middleware exposed...
Executive Summary
GreyNoise recently deployed honeypots specifically designed for the Model Context Protocol (MCP) to observe how attackers interact with AI middleware exposed to the open internet. This research highlights emerging security risks associated with integrating AI infrastructure into public networks. Although the provided text does not identify specific threat actors or malware families, it underscores the critical need for securing AI layers against unauthorized probing. Organizations utilizing AI middleware should monitor exposure levels and implement strict access controls to mitigate potential threats. The findings suggest attackers are actively investigating these new technologies, necessitating proactive defense strategies within security operations. Teams must prioritize visibility into AI infrastructure to prevent unauthorized access and potential exploitation of middleware vulnerabilities as enterprise adoption grows rapidly.
Summary
GreyNoise deployed MCP honeypots to see what happens when AI middleware meets the open internet — revealing how attackers interact with this new layer of AI infrastructure.
Published Analysis
GreyNoise recently deployed honeypots specifically designed for the Model Context Protocol (MCP) to observe how attackers interact with AI middleware exposed to the open internet. This research highlights emerging security risks associated with integrating AI infrastructure into public networks. Although the provided text does not identify specific threat actors or malware families, it underscores the critical need for securing AI layers against unauthorized probing. Organizations utilizing AI middleware should monitor exposure levels and implement strict access controls to mitigate potential threats. The findings suggest attackers are actively investigating these new technologies, necessitating proactive defense strategies within security operations. Teams must prioritize visibility into AI infrastructure to prevent unauthorized access and potential exploitation of middleware vulnerabilities as enterprise adoption grows rapidly. GreyNoise deployed MCP honeypots to see what happens when AI middleware meets the open internet — revealing how attackers interact with this new layer of AI infrastructure. GreyNoise deployed MCP honeypots to see what happens when AI middleware meets the open internet — revealing how attackers interact with this new layer of AI infrastructure.