Leave Legacy Infrastructure Behind Without Impacting the Business

One Policy. Every Cloud. Total Confidence.

Bridge legacy systems and cloud-native platforms with modern traffic management, security, and observability so you can safely retire legacy infrastructure and unlock capacity for AI innovation.

Your regulators expect consistency across AWS, Azure, and GCP.

With Ambient, you enforce a single policy everywhere with full auditability and peace of mind.  

Plan your Modernization
Choose the right AI Gateway

Simplify, Secure, and Scale Your Multi-Cluster Architecture

Bridge Legacy and Cloud-Native Environments

Mainframe and data center exit programs create hybrid complexity, where legacy and cloud-native systems must operate together without disruption. Modern service networking provides a consistent connectivity layer—enabling incremental migration while maintaining control, visibility, and uptime:

  • Enable connectivity across legacy, VM-based, and Kubernetes workloads
  • Standardize traffic routing during phased migrations
  • Avoid brittle point-to-point integrations
  • Maintain uptime across hybrid environments

Explore Multi-Cluster Connectivity
Bridge Legacy and Cloud-Native Environments

Modernize Traffic, Security, and Policy

As workloads move off mainframes, traffic and security policies often become fragmented across tools and teams. A unified control plane ensures consistent policy enforcement across legacy and cloud-native environments—reducing risk and operational overhead:

  • Enforce zero-trust policies across hybrid architectures
  • Centralize traffic management and governance
  • Reduce reliance on legacy networking constructs
  • Simplify compliance during modernization

Try this Ambient Mesh Lab
Modernize Traffic, Security, and Policy

Unlock Capacity for AI & Cloud-Native Innovation

Mainframe exit programs are not just cost-saving—they’re about unlocking capacity for AI and modern application development. Cloud-native service networking provides the scalability and observability needed to support high-velocity, distributed workloads:

  • Support AI/ML workloads with scalable service connectivity
  • Improve observability across distributed architectures
  • Reduce infrastructure and operational costs
  • Accelerate delivery of cloud-native applications

Top 5 AI Use Cases
Unlock Capacity for AI & Cloud-Native Innovation

Start Your Modernization

Get in touch with our team of experts and:

  • Assess your current mainframe and data center footprint
  • Identify dependencies across legacy and cloud-native systems
  • Design a phased exit strategy with zero disruption
  • Define traffic, security, and observability requirements 
  • Build a scalable foundation for AI and cloud-native workload

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In the meantime, please check out these helpful resources at your leisure.

Thanks for your request!

Our team will reach out soon to discuss next steps.

In the meantime, please check out these helpful resources at your leisure.