AI agents have moved from simple chatbots to autonomous systems that plug into business tools, call LLMs, and even spawn sub-agents. That's exciting for your customers, but as agent sprawl grows, so do token costs and access-control risks. This is where you can add real value.
The problem your customers are facing
Agentic AI has scaled faster than most governance frameworks can handle. Without central oversight, this leads to three major issues:
- Token consumption climbs with no clear visibility.
- Developers without secure access spin up shadow AI.
- Access-control gaps multiply across every tool interaction.
Gartner predicts that by 2027, over 40% of agentic AI projects will be cancelled due to escalating costs, unclear value, or weak risk controls.* That's a conversation worth having now.
What Nutanix Agent Gateway delivers
Now generally available in Nutanix Enterprise AI 2.7, Agent Gateway is a unified, governed layer that sits between agents, LLMs, and enterprise tools. It gives infrastructure teams centralised control while letting developers build without friction across both public hosted and private self-hosted models.
Key capabilities include:
- Granular access control to Model Context Protocol servers.
- Central visibility into token usage, MCP access, and LLM activity.
- A full trail of every request for compliance.
- One API for external and self-hosted models.
- Granular token-based rate limiting with real-time usage insight.
This is your chance to lead governance and cost-control conversations. Reach out to the Arrow Nutanix team to learn more.
