Nutanix has announced the general availability of its new Nutanix Agent Gateway, a core component of the Nutanix Enterprise AI version 2.7.
The Nutanix Agent Gateway functions as a primary management hub, facilitating the management of interactions between AI agents, large language models (LLMs), and various enterprise tools. It offers AI developers and platform teams a dedicated control point to oversee agent activities, manage access policies, and monitor token use across AI deployments.
Automation of complex workflows
This innovation, integrated with Nutanix Enterprise AI, enhances the security of interactions between agents, AI models, and business applications.
It ensures consistent governance across different AI environments, whether using advanced models hosted in the public cloud or private, in-house models. As corporations transition from pilot AI projects to full-scale agent deployments, the need for advanced governance, access security, and cost management becomes paramount due to the increase in interactions between autonomous agents, AI models, and business data to automate complex workflows.
Cost optimisation
The enhanced visibility aids organisations in identifying workloads that can be shifted to self-hosted models
The Nutanix Agent Gateway offers a solution to these challenges by providing a centralised observability of token usage across various model providers. This feature allows IT and platform teams to effectively monitor usage, allocate costs, and manage AI expenditures. The enhanced visibility aids organisations in identifying workloads that can be shifted to self-hosted models, decreasing their dependence on external services and optimising overall costs.
Acting as a control layer, the Nutanix Agent Gateway links requestors—comprising AI users and agents—to AI models and Model Context Protocol (MCP) servers. It applies access control policies and tool-level filtering, facilitating secure access to enterprise resources in a governed setting. Key features include:
- Nutanix Agent Gateway Governance for MCP: Allows granular access control to MCP servers, enabling agents to securely connect with business tools and private data sources.
- Unified Observability: Centralises visibility into token usage, MCP server access, and LLM activities.
- Audit Logs: Records every MCP request, providing a comprehensive audit trail for AI governance.
- Unified API: Offers access to external provider models and self-hosted models through a single API, empowering developers to select the appropriate model for each use case.
- Granular Token-Based Rate Limiting: Implements centralised token quotas and limits, delivering real-time insights into token usage across agents and teams.
Consistent governance across deployments
The Nutanix Agent Gateway facilitates organisations in implementing consistent governance across all AI deployments, irrespective of whether they utilise public cloud-hosted or self-hosted models. IT teams gain from unified management of access policies, governance controls, and token utilisation throughout their AI environments.
Sammy Zoghlami, SVP EMEA at Nutanix, noted, “Organisations are rapidly moving from pilot projects to large-scale agentic AI deployments involving hundreds or even thousands of autonomous agents. 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.”
