文章摘要
Trail of Bits announced the development of a crucial security layer designed to enhance the Model Context Protocol (MCP). This new security layer addresses identified vulnerabilities within the existing MCP specification, particularly concerning the interactions between AI assistants (MCP Clients) and external tools (MCP Servers). Key features include robust end-to-end encryption for all exchanged context data, advanced attestation mechanisms to verify the authenticity of MCP Servers, and precise access control policies enabling granular permissions for AI assistants. The layer also integrates comprehensive audit trails to facilitate compliance monitoring and rapid incident response, aiming to secure the broader AI assistant ecosystem against malicious actors and context poisoning attacks.