NetFoundry has expanded its AI Enclave offering with MCP and LLM gateways designed to govern access to models and tools, route AI requests, track costs, and provide observability across enterprise AI deployments.
NetFoundry announced an expansion of its AI Enclave product with new zero-trust MCP and LLM gateways for enterprise AI deployments.
NetFoundry said in a PRNewswire release that the new gateways are intended to help organizations connect AI applications, large language models, and tools while applying zero-trust access controls. The company also published the announcement on its own website, describing the launch as an expansion of its AI Enclave solution.
According to NetFoundry, the offering includes two related components: an MCP gateway for connecting agentic AI systems to tools and data sources, and an LLM gateway for governing model access and routing requests. The company positions both gateways as infrastructure for enterprises that want to deploy AI systems without exposing internal services through inbound firewall ports.
NetFoundry’s announcement says the MCP gateway provides identity-based access to Model Context Protocol resources. MCP is a protocol used to connect AI applications with external tools, data, and services. NetFoundry says its gateway applies controls over which identities can reach those resources and supports observability across related AI interactions.
The company’s LLM gateway is described as a governance layer for model access. NetFoundry says it supports semantic routing, budget controls, token tracking, and guardrails. In practice, those features are meant to help enterprises decide which model receives a request, monitor usage, and apply spending or policy limits.
On its AI Enclaves product page, NetFoundry describes a unified platform for securing and governing LLM and MCP resources. The company says the approach relies on identity-based control and avoids open inbound firewall ports. It also describes token tracking and LLM routing as part of the platform.
A notable part of the announcement is NetFoundry’s emphasis on correlated observability. The PRNewswire release says the product can correlate activity from an AI application to an LLM call and then to a tool invocation. That level of tracing is intended to help security, operations, and platform teams understand how AI systems are interacting with models and enterprise resources.
NetFoundry also highlights cost management. The company says the LLM gateway includes budget controls and token tracking, features that can matter when teams are experimenting with multiple models or deploying AI applications across business units. The announcement does not provide customer benchmarks or pricing details for the gateways.
NetFoundry frames the launch around zero-trust security for AI deployments. In its own materials, the company describes identity-based access, policy enforcement, and private connectivity as core parts of the AI Enclave architecture. The company also says the gateways can be used to govern access to both cloud and private AI resources.
The announcement reflects a broader enterprise concern: as AI applications call more tools, retrieve more data, and interact with multiple models, companies need a way to control who or what can access those resources. NetFoundry’s answer is to place MCP and LLM gateways inside a zero-trust networking model.
NetFoundry says it is also offering an Accelerator Program alongside the launch. The company describes the program as a way for organizations to begin working with its AI Enclave capabilities, including the new MCP and LLM gateways.
The launch information comes from NetFoundry’s PRNewswire announcement, NetFoundry’s own press release, and the company’s AI deployment and protection product page. Those sources describe the product capabilities and positioning, but they do not include independent third-party testing results or customer deployment metrics.
NetFoundry announced an expansion of its AI Enclave product with new zero trust MCP and LLM gateways for enterprise AI deployments.
The company also published the announcement on its own website, describing the launch as an expansion of its AI Enclave solution.
According to NetFoundry, the offering includes two related components: an MCP gateway for connecting agentic AI systems to tools and data sources, and an LLM gateway for governing model access and routing requests.
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