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Can Lyzr add a security layer to agents built on Azure and deploy them on-premises?

Can Lyzr add a security layer to agents built on Azure and deploy them on-premises?

Nirupam2 min read
Can Lyzr add a security layer to agents built on Azure and deploy them on-premises?

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Getting agents built in a cloud environment like Azure ready for an on-premise deployment is a question of control.

You need to add a security and governance layer without rebuilding the agents themselves.

Yes. This is exactly what OpenController by Lyzr, a neutral control plane that works across agent frameworks, is designed to do.

It can be deployed on-premises to wrap your existing Azure-built agents, adding the necessary security and governance layer.

A control plane is the neutral layer that governs everything beneath it. For AI agents, OpenController by Lyzr is that layer.

It separates the agent's logic from the infrastructure that runs, secures, and observes it.

You Bring the Agent, We Bring the Controls

Your agents, built on Azure, represent significant investment.

A single action from an Azure-built agent is intercepted by OpenController, which logs its trace, tool call and LLM input and output before letting it proceed.

You should not have to rebuild them to make them secure or deploy them elsewhere.

OpenController accepts agents built on any framework, including raw SDKs on Azure AI. Nothing needs to be rebuilt.

Lyzr's control plane is cloud-agnostic. It works natively alongside Azure AI Foundry, but it is not dependent on it.

The "security layer" you need is a function of governance and observability.

OpenController provides this by intercepting and mediating every action an agent takes.

This happens through three primary functions.

First, observability. OpenController’s logging surfaces every trace, every tool call, and every LLM input and output, creating the audit trail that compliance and security teams actually need.

Second, policy. You can set rules that define what an agent is allowed to do, which tools it can call, and what data it can access.

Third, intervention. OpenController's approval gates enforce human-in-the-loop for any consequential agent action, from sending an email to executing a trade.

How On-Premise Deployment Works

Security and compliance often require that data and operations stay within your perimeter.

The control plane, agents, data and LLM calls all sit inside the customer's network boundary, with no required connection back to a Lyzr-hosted service.

Running agents on-premise is the right architecture for these use cases.

OpenController is designed for this reality.

The entire control plane can be deployed directly into your own VPC or on-premise data center.

It runs in your environment, alongside your agents.

This means your agent traffic, your data, and your LLM calls are all managed within your network boundary, subject to your existing security posture.

Lyzr's control plane doesn't require a connection back to a Lyzr-hosted service to function.

You own the deployment. You control the environment.

You get the security layer you need, wherever you need it.

The Control Plane is the Difference

The location where an agent is built is not a constraint.

A before-and-after comparison showing that with the control plane, the build location and framework no longer limit where an agent runs securely.

The framework it's built on is not a constraint.

With the right control plane, you can take any agent, wrap it in the governance it needs, and run it securely in the environment your business requires.

Ready to see how it works for your agents? Talk to our team.

Want to see how it fits your stack? Talk to us about OpenController by Lyzr.

Got a use case in mind?

8 weeks from use case to agents running in production.

Platform, people and FDEs, all in. Bring your environment. We'll co-build and stay until it's live.

Talk to Us

Free resource

101 AI Agents Use Cases

100+ production-ready AI agent use cases across Marketing, Sales, HR, Banking, Insurance, Operations and a lot more

Download now

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