Rebecca PY MALAYSIA, 6 JULY 2026 – Nutanix has announced the general availability of Nutanix Agent Gateway, a new addition to Nutanix Enterprise AI 2.7 designed to manage interactions between AI agents, large language models and enterprise tools. The solution gives AI developers and platform teams a single control point to govern agent activity, manage access policies, and monitor token consumption across agentic AI deployments.
Integrated with Nutanix Enterprise AI, Agent Gateway is built to secure interactions between agents, models and business applications, offering consistent governance regardless of whether organisations rely on frontier models hosted in the public cloud or self-hosted private models. The launch responds to a broader shift in enterprise AI adoption, as organisations move from pilot projects to production-scale agentic AI deployments. As autonomous agents increasingly interact with AI models, enterprise applications and business data to automate complex workflows, this evolution has introduced new challenges around governance, access security and the rising costs tied to model usage.
Nutanix Agent Gateway addresses these issues by centralising token observability across model providers, allowing IT and platform teams to monitor usage, allocate costs and gain tighter control over AI spending. This visibility also helps organisations identify workloads suited for self-hosted models, reducing dependence on external services and helping optimise costs over time. Functioning as a control layer between requestors, including AI users and agents, and AI models and Model Context Protocol servers, Agent Gateway applies access control policies and tool-level filtering across agents, enabling secure access to enterprise resources within a governed environment.
Key capabilities of the platform include governance controls for MCP that allow granular access management to MCP servers, unified observability into token usage, MCP server access and LLM activity, audit logs that record every MCP request for AI governance purposes, a unified API for accessing both external provider models and self-hosted models, and granular token-based rate limiting that enforces quotas while delivering real-time visibility into consumption across agents and teams.
Daryush Ashjari, Chief Technology Officer and Vice President of Solution Engineering for Asia Pacific and Japan at Nutanix, said AI adoption across APJ is accelerating faster than governance frameworks can keep pace with. He noted that as organisations scale agentic AI beyond experimentation, the central challenge shifts from model performance to visibility and control over how agents behave in real-world environments. According to Ashjari, Agent Gateway introduces a consistent control plane that gives IT leaders the governance and oversight needed to secure and scale AI agents with confidence, regardless of where the underlying models run.
Nutanix says the new capability allows organisations to apply consistent governance across agentic AI deployments no matter the hosting model, giving IT teams unified management of access policies, governance controls and token consumption across their AI environments.