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There is no evidence-based universal winner among the agent gateways reviewed. Google Cloud Agent Gateway is the broadest documented fit here for controlling both agent ingress and egress; Microsoft Foundry’s AI gateway is a narrower, preview-stage option for eligible MCP traffic; and agentgateway offers configurable authorization scopes for teams evaluating a project-based implementation. The right choice depends first on which traffic you need to control, then on identity, policy scope, inspection, deployment fit and maturity.
What an agent gateway controls
An agent gateway sits in the path of agent interactions so policies can be applied as traffic passes through it. But “agent traffic” is not one path: a client or user may connect to an agent, and that agent may separately call tools, MCP servers, APIs or other destinations. A gateway can govern one path without governing the other.
Google Cloud describes Agent Gateway as supporting both client-to-agent ingress and agent-to-anywhere egress. Its overview identifies agent identity, a registry, IAM policies, optional Model Armor and semantic governance, and network-layer observability among its governance components. It also documents encrypted connections using mTLS and protocol translation for MCP, REST and gRPC. Which governance layers apply depends on the traffic direction. Google Cloud Agent Gateway overview
Microsoft Foundry documents a connected AI gateway as a governed route for eligible MCP traffic. The listed controls include authentication, rate limits, IP restrictions, routing and audit logging. Its current documented eligibility is specific: only new MCP tools created in the Foundry portal that do not use managed OAuth are routed through the gateway. The feature is in preview. Microsoft Foundry gateway documentation
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The agentgateway project documents authorization policies written as CEL rules. Those rules can match request headers, JWT claims, source IP addresses and MCP tool names, with scopes for traffic, frontend network, selected backend and MCP-specific authorization. That documentation establishes policy capabilities, not comparative operational quality, support terms or performance. agentgateway authorization documentation
How the documented options compare
| Option | Documented scope and controls | Important constraints to verify |
|---|---|---|
| Google Cloud Agent Gateway | Client-to-agent ingress and agent-to-anywhere egress; agent identity and registry; IAM allow/deny policies; optional Model Armor and semantic governance; telemetry; mTLS and protocol translation. | Google Cloud platform fit and resource/region design matter. Governed agents require identity and registry setup. Verify the needed features in the target region and runtime. VPC Service Controls support is documented only for deployments created after September 8, 2026 using the agent connectivity template for VPC connectivity. Google overview |
| Microsoft Foundry AI gateway | Governed entry point for eligible MCP traffic, with documented authentication, rate limits, IP restrictions, routing and audit logging. Authentication options include managed identity, key-based authentication, custom OAuth passthrough and unauthenticated servers where applicable. | Preview as documented. Only new portal-created MCP tools that do not use managed OAuth are routed through it. It is configured at the Foundry resource level and requires a connected gateway plus API Management policy permissions. Confirm eligibility and the required auth path in the current documentation. Microsoft documentation |
| agentgateway | CEL-based authorization across traffic, network, backend and MCP scopes; rules can inspect headers, JWT claims, source IP and MCP tool names. | The cited authorization page is technical documentation, not a product evaluation. Verify deployment model, integrations, operational support, security review, release status and maintenance directly before production adoption. Authorization documentation |
These are vendor- and project-documented capabilities, not results from a controlled feature or performance benchmark. The table is useful for screening; it does not establish that one option is more secure than another.
Rank #2
- Ubiquiti Networks networks networks Unifi security Gateway Pro 4-Port (USG-PRO-4)
- 4 Gigabit RJ45 ports plus 2 Gigabit SFP ports for fiber connectivity If needed
- Standard rack mount 1U size
- Provide cost-effective, reliable routing and advanced security for your network
- Max. Power Consumption:7W
Which gateway fits which governance need?
Choose Google Cloud Agent Gateway when both directions matter
Google’s documented distinction between client-to-agent and agent-to-anywhere traffic makes this the clearest fit in this comparison when you need a single control point for both paths. Its IAM model is deny-by-default for egress: traffic is blocked unless a policy grants the needed permission. Google recommends registering destinations to enable granular resource and tool controls. Each governed agent needs a unique SPIFFE ID, and traffic from unidentified agents is blocked by default. Google setup guide
Before choosing it, establish that its registry, identity setup and regional/runtime availability match the deployment. Google’s IAM guide describes mTLS and DPoP in the identity flow; map those mechanisms to how your system represents the human principal, agent workload and delegated authority. Google IAM overview
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Choose Microsoft Foundry’s gateway only if your MCP tools qualify
The decisive question is not merely whether a workload uses MCP. It is whether its tools meet the documented routing conditions: they must be new, created in the Foundry portal, and not use managed OAuth. The feature is preview-stage, so confirm the present scope, authentication requirements and API Management permissions before designing around it.
Evaluate agentgateway when CEL policy scope is the priority
Its documentation is relevant when teams want authorization rules that match request properties, JWT claims, source IP or MCP tool names and need scopes at the traffic, network, backend or MCP level. The cited page does not settle operational readiness or support arrangements, so those need independent verification for the intended deployment.
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- Includes NAT, VPN support, VLAN segmentation, and UniFi security features for managing secure and segmented networks
What a gateway does not establish by itself
Identity and authorization are different from content inspection
Authentication and policy decisions can determine who or what may reach a tool or destination; they do not, by themselves, establish that prompts, tool arguments, tool responses or agent outputs are safe. Google presents Model Armor and semantic governance as optional inspection controls, with limitations on which combinations apply to ingress and egress. Confirm exactly which content is inspected on each path and how exceptions and false positives are handled. Do not infer protection against prompt injection, harmful content or data leakage from ordinary authorization alone.
Observability is useful only if events support investigation
For any candidate, check whether audit records let an incident responder connect the principal and agent to the destination or tool, policy decision and event time. Confirm retention and export integrations in the actual configuration rather than assuming that a listed logging feature provides the records or retention period your team needs.
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How to evaluate a gateway before enforcement
- Map the traffic. List every user or client, agent, sub-agent, MCP server, API and network boundary. Mark which ingress and egress paths must cross the gateway, and identify routes that could bypass it.
- Trace identity and delegation. For each path, determine how the system attributes the human principal and agent workload, represents delegated authority, limits token lifetime and revokes access. Check whether audit events preserve that attribution.
- Write least-privilege policies. Define allowed tools and destinations, the permissions each requires, and the intended behavior for unknown destinations. Test per-tool grants and denials rather than relying only on broad network access rules.
- Inspect the content boundary. Ask which controls inspect prompts, tool arguments, tool responses and agent outputs; determine how exceptions and false positives are managed. Treat inspection as a separate requirement from authorization.
- Validate deployment fit. Confirm the required region, private-networking model, protocols, runtime integrations and scaling and availability needs against the actual product configuration. Broad capability descriptions do not establish that every feature is available in every region or deployment.
- Run policy tests before blocking traffic. Where supported, begin in dry-run or audit-only mode. Exercise permitted, prohibited, unidentified-agent and unavailable-destination cases; inspect the resulting events, adjust policy, then explicitly enable enforcement for production. Google’s setup guide recommends dry-run/audit-only validation before enforcement. Google setup guide
- Record feature maturity and eligibility. Capture whether each required capability is preview or generally available and any tool, identity or deployment restrictions. Reconfirm volatile availability details before procurement and rollout.
Where to start
Start with a traffic-path diagram and a list of policy decisions the gateway must enforce. If both ingress and egress governance are mandatory, compare those requirements with Google’s documented scope and regional fit. If the immediate need is routing eligible MCP tools in Foundry, first verify Microsoft’s preview restrictions. If CEL rule scope is central, assess agentgateway while separately validating its operational and support requirements. In every case, test the configured behavior—especially identity attribution, deny decisions, inspection boundaries and audit events—rather than treating a feature list as proof of security.
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