Can Lyzr’s control plane be deployed in a private cloud for financial-services customers?

For financial services, keeping customer data and proprietary models inside your own walls isn't optional.

It's a core requirement for compliance, security, and competitive advantage.

Yes. Lyzr's control plane can be deployed entirely within your private cloud or on-premise environment.

You retain full control over the infrastructure, the data, and all agent activity. Nothing leaves your network boundary without your explicit instruction.

This is by design. We built OpenController by Lyzr, the control plane for enterprise AI agents, to be cloud-agnostic precisely for this reason.

OpenController is Lyzr's answer to the control plane problem in enterprise AI: the governance layer that sits between your agent development and your production environment.

For regulated industries, that governance must live where your data lives.

How a Private Deployment Works

A private cloud deployment of OpenController means the entire governance and observability stack runs on your infrastructure.

It's not a SaaS product with a private connection.

It's a set of services packaged to run inside your Virtual Private Cloud (VPC) or on-premise Kubernetes cluster.

This architecture ensures complete data isolation.

All agent traffic, tool calls, and LLM interactions are routed according to your existing network policies, inside your environment. The detailed logs and audit trails generated by OpenController are written to your databases, under your direct control.

Because the control plane is co-located with your agents and data, no sensitive information needs to traverse the public internet to reach a third-party service for logging or policy enforcement.

Your data stays put.

Governance Stays With Your Data

Deploying the control plane privately means your governance rules are enforced at the source, not after the fact.

This is the only way to achieve real-time, preventative control over AI agents operating on financial data.

OpenController's approval gates can enforce a human-in-the-loop review before an agent executes a trade, moves funds, or accesses a sensitive customer record. Its policy engine can restrict which tools an agent is allowed to use and what data it can access.

This closes the gap between a working prototype and a production-safe agent that your compliance and security teams can actually sign off on.

Lyzr's control plane is also framework-agnostic. It can govern agents built with LangChain, CrewAI, LangGraph, or a raw SDK, and works natively alongside platforms like AWS Bedrock AgentCore and Azure AI Foundry within your cloud.

You don't have to rebuild anything. You just bring your agents under control.

Ready for a Technical Deep Dive?

The control you need for financial AI doesn't require compromising on security or data residency.

If a private cloud deployment is a hard requirement for your team, let's schedule a session to walk through the architecture.

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