NeuralTrust

TrustGate is an AI gateway that sits between AI agents and the models, tools, and APIs they call. It routes requests, enforces access policies, applies rate limits, and logs every interaction to provide governance and observability across agent traffic from a single layer. The gateway is designed to be secured by default and usable across large organizations.

The gateway supports routing to multiple models and tools, with central enforcement over what every agent can reach and a record of every call. It enables routing to various model providers and self-hosted options, and it supports MCP servers and thousands of tools through a unified access point.

Deployment options include SaaS, hybrid cloud, and on-premises setups. Data residency and isolation are emphasized, with configurations that aim to keep data within defined boundaries and support different security requirements.

The product emphasizes security, governance, and observability across agent traffic. It highlights a centralized gateway that can be deployed with various data residency and security controls to fit enterprise needs. It also notes that identity, routing, security, observability, and cost optimization are among the key focus areas of its governance model.

Use cases

• Agent gateway provides governance and observability for enterprise AI deployments.