AI security

MCP Security

Model Context Protocol (MCP) standardization requires stringent security controls to govern how AI models securely connect to external data sources. Key MCP security challenges involve enforcing granular access controls, mitigating server-side request forgery (SSRF), authenticating contextual data streams, and preventing untrusted environments from poisoning model outputs.

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How eBuilder Security Can Help

Awareness is the first layer. These are the services that turn it into measurable protection.