Securing the Model Context Protocol: Risks, Controls, and Governance

MCP shifts AI integrations from static developer-controlled systems to dynamic user-driven agents. This paper identifies key security risks and proposes practical safeguards for enterprise deployments.

• Three adversary types: prompt injection, malicious servers, agent overreach
• Key threats: data exfiltration, tool poisoning, privilege escalation
• Practical controls: authentication, isolation, DLP, and gateway governance

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