The Azure Security Podcast Episode 115: Security in Model Context Protocol (MCP)
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Jul 10, 2025 Den Delimarksy, a principal product engineer at Microsoft and member of the Model Context Protocol steering committee, shares key insights on enhancing security in AI. He discusses the significance of the Model Context Protocol's ability to provide essential context for large language models. Delimarksy also addresses security challenges like tool poisoning and the importance of threat modeling. Listeners will learn about how MCP's integration of control and data can boost operational efficiency while necessitating strong security measures.
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MCP Provides Context to Models
- MCP is a protocol that provides dynamic context to large language models.
- It acts like a universal connector enabling LLMs to access diverse data sources transparently.
Use Existing Identity Providers
- Developers should integrate MCP with existing identity providers instead of building authorization from scratch.
- Use federated identity standards to avoid the burden of implementing token management.
Apply Established Threat Models
- Threat models for MCP resemble those for existing enterprise APIs and integrations.
- Enforce policies on running local binaries and protect remote servers with strong authorization and continuous access evaluation.