Nutanix has announced the general availability of Nutanix Agent Gateway as part of Nutanix Enterprise AI 2.7.
Nutanix Agent Gateway provides a centralised control point to govern AI agents, secure access to enterprise tools, and monitor token consumption at scale. It acts as a centralised frontdoor that manages interactions between AI agents, large language models (LLMs), and enterprise tools. It also provides AI developers and platform teams with a single control point to govern agent activity, manage access policies, and monitor token consumption across agentic AI deployments.
“Organisations are rapidly moving from pilot projects to large-scale agentic AI deployments involving hundreds or even thousands of autonomous agents,” said Sammy Zoghlami, SVP EMEA at Nutanix. “Without centralised governance, it becomes difficult to control costs, access, and compliance. As autonomous agents continue to proliferate within enterprises, Nutanix Agent Gateway provides a unified governance framework to secure and oversee agentic AI deployments.”
Integrated with Nutanix Enterprise AI, the solution can be hosted on frontier models in the public cloud or on self-hosted, private models.
Key capabilities of Nutanix Agent Gateway include:
• Nutanix Agent Gateway Governance for MCP: Users can set granular access control to MCP servers, enabling agents to securely connect to business tools and private data sources
• Unified Observability: Centralise visibility into token usage, MCP server access, and LLM activity
• Audit Logs: Users can record every MCP request with a comprehensive audit trail for AI governance
• Unified API: Users can access external provider models and self-hosted models through a single API, allowing developers the freedom to use the right model for the right use case
• Granular Token-Based Rate Limiting: IT admins can enforce token quotas and limits centrally that deliver real-time visibility into token usage across every agent and team
Nutanix Agent Gateway enables organisations to apply consistent governance across agentic AI deployments, regardless of whether they rely on public cloud-hosted or self-hosted models. IT teams benefit from unified management of access policies, governance controls, and token consumption across their AI environments.
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