Rocket Software Expanded AI Platform to Mainframes

The company introduced agentic AI and new security tools designed for critical mainframe environments.

Updated on Sept. 28, 2026 in Artificial Intelligence

Isometric editorial illustration of a single metal server cabinet standing alone in a data center, evoking enterprise mainframe architecture.
Rocket Software expanded its EVA platform to offer agentic AI and new security tools for enterprise-level mainframe systems. AI Illustration. Upload story photo >

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Rocket Software has expanded its Rocket EVA platform to provide governed agentic AI capabilities for mainframe systems. This update also introduced the PlanGuard security layer to manage policy checkpoints and identity controls for AI agents.

Why it matters

The expansion enables enterprises to deploy AI on mission-critical systems while addressing the IT skills gap. It also seeks to reduce the manual analysis burdens currently placed on technology teams.

The updated platform features a model-agnostic architecture designed to connect directly with z/OS data environments. PlanGuard integrates a policy decision point directly between AI reasoning processes and actual system execution.

The players

Rocket Software

Rocket Software is a global technology company that provides software solutions for modernizing mission-critical infrastructure and mainframe systems.

The details

The Rocket EVA platform allows AI agents to reason across complex operational data to automate various technical tasks using natural language. Rocket Software aims to support secure AI adoption across sectors including financial services, government, insurance, retail, and telecommunications.

Timeline

  1. Rocket Software announced the EVA platform expansion on September 28, 2026.

The Tech Race

The integration of AI reasoning into the z/OS environment highlights the industry-wide shift toward modernizing legacy enterprise systems. This development positions Rocket Software to bridge the gap between traditional mainframe architecture and modern agentic AI workflows.

IT professionals in participating sectors may see reduced manual workloads as AI agents begin automating routine analysis tasks. Users will rely on new identity controls and policy checkpoints to ensure that AI interactions with mainframe resources remain secure.

The takeaway

Enterprises are increasingly seeking ways to securely integrate modern AI reasoning into the foundational systems that power their core business operations. Organizations should prioritize establishing strong policy checkpoints when deploying automated agents in mission-critical environments.

Further reading

Learn more about the latest innovations in Artificial Intelligence to see how industry leaders are adopting new tools.

More information

Find additional details on the platform features by visiting the Rocket Software official website.

Source note: This article includes information reported by Database Trends and Applications.

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