THE article discusses an analysis of server logs revealing internet-wide scanning activities targeting Model Context Protocol (MCP) servers, AI assistant configurations, and locally exposed LLM endpoints in 2026. Key observations include systematic probing for specific paths related to MCP servers, evidence of sophisticated scanning techniques (e.g., using valid JSON-RPC requests), and the identification of credential harvesting tactics targeting AI assistance configuration files.
The findings indicate a broad campaign actively searching for vulnerabilities in systems that utilize AI technology, stressing the importance for organizations to strengthen their defenses against these emerging threats.